Overview

Dataset statistics

Number of variables909
Number of observations583
Missing cells17
Missing cells (%)< 0.1%
Total size in memory4.0 MiB
Average record size in memory7.1 KiB

Variable types

Numeric909

Alerts

number of spiro atoms has constant value "0"Constant
number of bridgehead atoms has constant value "0"Constant
SP3 carbon bound to 4 other carbons has constant value "0"Constant
3-ordered Chi chain weighted by sigma electrons has constant value "0"Constant
4-ordered Chi chain weighted by sigma electrons has constant value "0"Constant
3-ordered Chi chain weighted by valence electrons has constant value "0"Constant
4-ordered Chi chain weighted by valence electrons has constant value "0"Constant
number of sLi has constant value "0"Constant
number of ssBe has constant value "0"Constant
number of ssssBe has constant value "0"Constant
number of ssBH has constant value "0"Constant
number of sssB has constant value "0"Constant
number of ddC has constant value "0"Constant
number of dNH has constant value "0"Constant
number of aaNH has constant value "0"Constant
number of sSiH3 has constant value "0"Constant
number of ssSiH2 has constant value "0"Constant
number of sssSiH has constant value "0"Constant
number of ssssSi has constant value "0"Constant
number of sPH2 has constant value "0"Constant
number of ssPH has constant value "0"Constant
number of sssP has constant value "0"Constant
number of sssssP has constant value "0"Constant
number of sSH has constant value "0"Constant
number of dS has constant value "0"Constant
number of ssS has constant value "0"Constant
number of dssS has constant value "0"Constant
number of sGeH3 has constant value "0"Constant
number of ssGeH2 has constant value "0"Constant
number of sssGeH has constant value "0"Constant
number of ssssGe has constant value "0"Constant
number of sAsH2 has constant value "0"Constant
number of ssAsH has constant value "0"Constant
number of sssAs has constant value "0"Constant
number of sssdAs has constant value "0"Constant
number of sssssAs has constant value "0"Constant
number of sSeH has constant value "0"Constant
number of dSe has constant value "0"Constant
number of ssSe has constant value "0"Constant
number of aaSe has constant value "0"Constant
number of dssSe has constant value "0"Constant
number of ddssSe has constant value "0"Constant
number of sSnH3 has constant value "0"Constant
number of ssSnH2 has constant value "0"Constant
number of sssSnH has constant value "0"Constant
number of ssssSn has constant value "0"Constant
number of sI has constant value "0"Constant
number of sPbH3 has constant value "0"Constant
number of ssPbH2 has constant value "0"Constant
number of sssPbH has constant value "0"Constant
number of ssssPb has constant value "0"Constant
sum of sLi has constant value "0"Constant
sum of ssBe has constant value "0"Constant
sum of ssssBe has constant value "0"Constant
sum of ssBH has constant value "0"Constant
sum of sssB has constant value "0"Constant
sum of ddC has constant value "0"Constant
sum of dNH has constant value "0"Constant
sum of aaNH has constant value "0"Constant
sum of sSiH3 has constant value "0"Constant
sum of ssSiH2 has constant value "0"Constant
sum of sssSiH has constant value "0"Constant
sum of ssssSi has constant value "0"Constant
sum of sPH2 has constant value "0"Constant
sum of ssPH has constant value "0"Constant
sum of sssP has constant value "0"Constant
sum of sssssP has constant value "0"Constant
sum of sSH has constant value "0"Constant
sum of dS has constant value "0"Constant
sum of ssS has constant value "0"Constant
sum of dssS has constant value "0"Constant
sum of sGeH3 has constant value "0"Constant
sum of ssGeH2 has constant value "0"Constant
sum of sssGeH has constant value "0"Constant
sum of ssssGe has constant value "0"Constant
sum of sAsH2 has constant value "0"Constant
sum of ssAsH has constant value "0"Constant
sum of sssAs has constant value "0"Constant
sum of sssdAs has constant value "0"Constant
sum of sssssAs has constant value "0"Constant
sum of sSeH has constant value "0"Constant
sum of dSe has constant value "0"Constant
sum of ssSe has constant value "0"Constant
sum of aaSe has constant value "0"Constant
sum of dssSe has constant value "0"Constant
sum of ddssSe has constant value "0"Constant
sum of sSnH3 has constant value "0"Constant
sum of ssSnH2 has constant value "0"Constant
sum of sssSnH has constant value "0"Constant
sum of ssssSn has constant value "0"Constant
sum of sI has constant value "0"Constant
sum of sPbH3 has constant value "0"Constant
sum of ssPbH2 has constant value "0"Constant
sum of sssPbH has constant value "0"Constant
sum of ssssPb has constant value "0"Constant
MOE MR VSA Descriptor 8 ( 3.63 <= x < 3.80) has constant value "0"Constant
MOE logP VSA Descriptor 9 ( 0.30 <= x < 0.40) has constant value "0"Constant
MOE logP VSA Descriptor 11 ( 0.50 <= x < 0.60) has constant value "0"Constant
3-membered ring count has constant value "0"Constant
4-membered ring count has constant value "0"Constant
7-membered ring count has constant value "0"Constant
8-membered ring count has constant value "0"Constant
9-membered ring count has constant value "0"Constant
10-membered ring count has constant value "0"Constant
11-membered ring count has constant value "0"Constant
12-membered ring count has constant value "0"Constant
12-or-greater-membered ring count has constant value "0"Constant
3-membered hetero ring count has constant value "0"Constant
4-membered hetero ring count has constant value "0"Constant
7-membered hetero ring count has constant value "0"Constant
8-membered hetero ring count has constant value "0"Constant
9-membered hetero ring count has constant value "0"Constant
10-membered hetero ring count has constant value "0"Constant
11-membered hetero ring count has constant value "0"Constant
12-membered hetero ring count has constant value "0"Constant
12-or-greater-membered hetero ring count has constant value "0"Constant
3-membered aromatic ring count has constant value "0"Constant
4-membered aromatic ring count has constant value "0"Constant
7-membered aromatic ring count has constant value "0"Constant
8-membered aromatic ring count has constant value "0"Constant
9-membered aromatic ring count has constant value "0"Constant
10-membered aromatic ring count has constant value "0"Constant
11-membered aromatic ring count has constant value "0"Constant
12-membered aromatic ring count has constant value "0"Constant
12-or-greater-membered aromatic ring count has constant value "0"Constant
3-membered aromatic hetero ring count has constant value "0"Constant
4-membered aromatic hetero ring count has constant value "0"Constant
7-membered aromatic hetero ring count has constant value "0"Constant
8-membered aromatic hetero ring count has constant value "0"Constant
9-membered aromatic hetero ring count has constant value "0"Constant
10-membered aromatic hetero ring count has constant value "0"Constant
11-membered aromatic hetero ring count has constant value "0"Constant
12-membered aromatic hetero ring count has constant value "0"Constant
12-or-greater-membered aromatic hetero ring count has constant value "0"Constant
3-membered aliphatic ring count has constant value "0"Constant
4-membered aliphatic ring count has constant value "0"Constant
7-membered aliphatic ring count has constant value "0"Constant
8-membered aliphatic ring count has constant value "0"Constant
9-membered aliphatic ring count has constant value "0"Constant
10-membered aliphatic ring count has constant value "0"Constant
11-membered aliphatic ring count has constant value "0"Constant
12-membered aliphatic ring count has constant value "0"Constant
12-or-greater-membered aliphatic ring count has constant value "0"Constant
3-membered aliphatic hetero ring count has constant value "0"Constant
4-membered aliphatic hetero ring count has constant value "0"Constant
7-membered aliphatic hetero ring count has constant value "0"Constant
8-membered aliphatic hetero ring count has constant value "0"Constant
9-membered aliphatic hetero ring count has constant value "0"Constant
10-membered aliphatic hetero ring count has constant value "0"Constant
11-membered aliphatic hetero ring count has constant value "0"Constant
12-membered aliphatic hetero ring count has constant value "0"Constant
12-or-greater-membered aliphatic hetero ring count has constant value "0"Constant
4-membered fused ring count has constant value "0"Constant
5-membered fused ring count has constant value "0"Constant
6-membered fused ring count has constant value "0"Constant
7-membered fused ring count has constant value "0"Constant
8-membered fused ring count has constant value "0"Constant
10-membered fused ring count has constant value "0"Constant
11-membered fused ring count has constant value "0"Constant
12-membered fused ring count has constant value "0"Constant
12-or-greater-membered fused ring count has constant value "0"Constant
4-membered fused hetero ring count has constant value "0"Constant
5-membered fused hetero ring count has constant value "0"Constant
6-membered fused hetero ring count has constant value "0"Constant
7-membered fused hetero ring count has constant value "0"Constant
8-membered fused hetero ring count has constant value "0"Constant
10-membered fused hetero ring count has constant value "0"Constant
11-membered fused hetero ring count has constant value "0"Constant
12-membered fused hetero ring count has constant value "0"Constant
12-or-greater-membered fused hetero ring count has constant value "0"Constant
4-membered aromatic fused ring count has constant value "0"Constant
5-membered aromatic fused ring count has constant value "0"Constant
6-membered aromatic fused ring count has constant value "0"Constant
7-membered aromatic fused ring count has constant value "0"Constant
8-membered aromatic fused ring count has constant value "0"Constant
10-membered aromatic fused ring count has constant value "0"Constant
11-membered aromatic fused ring count has constant value "0"Constant
12-membered aromatic fused ring count has constant value "0"Constant
12-or-greater-membered aromatic fused ring count has constant value "0"Constant
4-membered aromatic fused hetero ring count has constant value "0"Constant
5-membered aromatic fused hetero ring count has constant value "0"Constant
6-membered aromatic fused hetero ring count has constant value "0"Constant
7-membered aromatic fused hetero ring count has constant value "0"Constant
8-membered aromatic fused hetero ring count has constant value "0"Constant
10-membered aromatic fused hetero ring count has constant value "0"Constant
11-membered aromatic fused hetero ring count has constant value "0"Constant
12-membered aromatic fused hetero ring count has constant value "0"Constant
12-or-greater-membered aromatic fused hetero ring count has constant value "0"Constant
aliphatic fused ring count has constant value "0"Constant
4-membered aliphatic fused ring count has constant value "0"Constant
5-membered aliphatic fused ring count has constant value "0"Constant
6-membered aliphatic fused ring count has constant value "0"Constant
7-membered aliphatic fused ring count has constant value "0"Constant
8-membered aliphatic fused ring count has constant value "0"Constant
9-membered aliphatic fused ring count has constant value "0"Constant
10-membered aliphatic fused ring count has constant value "0"Constant
11-membered aliphatic fused ring count has constant value "0"Constant
12-membered aliphatic fused ring count has constant value "0"Constant
12-or-greater-membered aliphatic fused ring count has constant value "0"Constant
aliphatic fused hetero ring count has constant value "0"Constant
4-membered aliphatic fused hetero ring count has constant value "0"Constant
5-membered aliphatic fused hetero ring count has constant value "0"Constant
6-membered aliphatic fused hetero ring count has constant value "0"Constant
7-membered aliphatic fused hetero ring count has constant value "0"Constant
8-membered aliphatic fused hetero ring count has constant value "0"Constant
9-membered aliphatic fused hetero ring count has constant value "0"Constant
10-membered aliphatic fused hetero ring count has constant value "0"Constant
11-membered aliphatic fused hetero ring count has constant value "0"Constant
12-membered aliphatic fused hetero ring count has constant value "0"Constant
12-or-greater-membered aliphatic fused hetero ring count has constant value "0"Constant
topological diameter has constant value "100000000"Constant
topological radius has constant value "100000000"Constant
topological shape index has constant value "0"Constant
Petitjean index has constant value "0"Constant
walk count (leg-3, only self returning walk) has constant value "0"Constant
exp (K) has 17 (2.9%) missing valuesMissing
number of aaO is highly skewed (γ1 = 24.14539294)Skewed
sum of aaO is highly skewed (γ1 = 24.14539294)Skewed
acidic group count has 34 (5.8%) zerosZeros
aromatic atoms count has 349 (59.9%) zerosZeros
aromatic bonds count has 349 (59.9%) zerosZeros
number of spiro atoms has 583 (100.0%) zerosZeros
number of bridgehead atoms has 583 (100.0%) zerosZeros
number of B atoms has 476 (81.6%) zerosZeros
number of N atoms has 20 (3.4%) zerosZeros
number of O atoms has 204 (35.0%) zerosZeros
number of S atoms has 328 (56.3%) zerosZeros
number of P atoms has 499 (85.6%) zerosZeros
number of F atoms has 224 (38.4%) zerosZeros
number of Cl atoms has 533 (91.4%) zerosZeros
number of Br atoms has 541 (92.8%) zerosZeros
number of I atoms has 575 (98.6%) zerosZeros
number of halogen atoms has 126 (21.6%) zerosZeros
moreau-broto autocorrelation of lag 3 weighted by valence electrons has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 4 weighted by valence electrons has 29 (5.0%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by valence electrons has 64 (11.0%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by valence electrons has 110 (18.9%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by valence electrons has 269 (46.1%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by valence electrons has 339 (58.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by sigma electrons has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by sigma electrons has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by sigma electrons has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by sigma electrons has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by atomic number has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by atomic number has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by atomic number has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by atomic number has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by mass has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by mass has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by mass has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by mass has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by vdw volume has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by vdw volume has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by vdw volume has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by vdw volume has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by sanderson EN has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by sanderson EN has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by sanderson EN has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by sanderson EN has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by pauling EN has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by pauling EN has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by pauling EN has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by pauling EN has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by allred-rocow EN has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by allred-rocow EN has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by allred-rocow EN has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by allred-rocow EN has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by polarizability has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by polarizability has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by polarizability has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by polarizability has 193 (33.1%) zerosZeros
moreau-broto autocorrelation of lag 5 weighted by ionization potential has 10 (1.7%) zerosZeros
moreau-broto autocorrelation of lag 6 weighted by ionization potential has 32 (5.5%) zerosZeros
moreau-broto autocorrelation of lag 7 weighted by ionization potential has 109 (18.7%) zerosZeros
moreau-broto autocorrelation of lag 8 weighted by ionization potential has 193 (33.1%) zerosZeros
averaged moreau-broto autocorrelation of lag 3 weighted by valence electrons has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by valence electrons has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by valence electrons has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by valence electrons has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by valence electrons has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by sigma electrons has 14 (2.4%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by sigma electrons has 33 (5.7%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by sigma electrons has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by sigma electrons has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by atomic number has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by atomic number has 33 (5.7%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by atomic number has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by atomic number has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by mass has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by mass has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by mass has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by mass has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by vdw volume has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by vdw volume has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by vdw volume has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by vdw volume has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by sanderson EN has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by sanderson EN has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by sanderson EN has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by sanderson EN has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by pauling EN has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by pauling EN has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by pauling EN has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by pauling EN has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by allred-rocow EN has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by allred-rocow EN has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by allred-rocow EN has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by allred-rocow EN has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by polarizability has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by polarizability has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by polarizability has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by polarizability has 193 (33.1%) zerosZeros
centered moreau-broto autocorrelation of lag 5 weighted by ionization potential has 10 (1.7%) zerosZeros
centered moreau-broto autocorrelation of lag 6 weighted by ionization potential has 32 (5.5%) zerosZeros
centered moreau-broto autocorrelation of lag 7 weighted by ionization potential has 109 (18.7%) zerosZeros
centered moreau-broto autocorrelation of lag 8 weighted by ionization potential has 193 (33.1%) zerosZeros
geary coefficient of lag 3 weighted by sigma electrons has 7 (1.2%) zerosZeros
Balaban's J index has 214 (36.7%) zerosZeros
number of double bonds in non-kekulized structure has 260 (44.6%) zerosZeros
number of triple bonds in non-kekulized structure has 535 (91.8%) zerosZeros
number of aromatic bonds in non-kekulized structure has 349 (59.9%) zerosZeros
number of multiple bonds in non-kekulized structure has 128 (22.0%) zerosZeros
number of double bonds in kekulized structure has 145 (24.9%) zerosZeros
SP carbon bound to 1 other carbon has 558 (95.7%) zerosZeros
SP carbon bound to 2 other carbons has 579 (99.3%) zerosZeros
SP2 carbon bound to 1 other carbon has 329 (56.4%) zerosZeros
SP2 carbon bound to 2 other carbons has 488 (83.7%) zerosZeros
SP2 carbon bound to 3 other carbons has 525 (90.1%) zerosZeros
SP3 carbon bound to 1 other carbon has 27 (4.6%) zerosZeros
SP3 carbon bound to 2 other carbons has 152 (26.1%) zerosZeros
SP3 carbon bound to 3 other carbons has 553 (94.9%) zerosZeros
SP3 carbon bound to 4 other carbons has 583 (100.0%) zerosZeros
3-ordered Chi chain weighted by sigma electrons has 583 (100.0%) zerosZeros
4-ordered Chi chain weighted by sigma electrons has 583 (100.0%) zerosZeros
5-ordered Chi chain weighted by sigma electrons has 322 (55.2%) zerosZeros
6-ordered Chi chain weighted by sigma electrons has 221 (37.9%) zerosZeros
7-ordered Chi chain weighted by sigma electrons has 233 (40.0%) zerosZeros
3-ordered Chi chain weighted by valence electrons has 583 (100.0%) zerosZeros
4-ordered Chi chain weighted by valence electrons has 583 (100.0%) zerosZeros
5-ordered Chi chain weighted by valence electrons has 322 (55.2%) zerosZeros
6-ordered Chi chain weighted by valence electrons has 221 (37.9%) zerosZeros
7-ordered Chi chain weighted by valence electrons has 233 (40.0%) zerosZeros
3-ordered Chi cluster weighted by sigma electrons has 7 (1.2%) zerosZeros
4-ordered Chi cluster weighted by sigma electrons has 82 (14.1%) zerosZeros
5-ordered Chi cluster weighted by sigma electrons has 230 (39.5%) zerosZeros
6-ordered Chi cluster weighted by sigma electrons has 275 (47.2%) zerosZeros
3-ordered Chi cluster weighted by valence electrons has 7 (1.2%) zerosZeros
4-ordered Chi cluster weighted by valence electrons has 82 (14.1%) zerosZeros
5-ordered Chi cluster weighted by valence electrons has 230 (39.5%) zerosZeros
6-ordered Chi cluster weighted by valence electrons has 275 (47.2%) zerosZeros
4-ordered Chi path-cluster weighted by sigma electrons has 17 (2.9%) zerosZeros
5-ordered Chi path-cluster weighted by sigma electrons has 21 (3.6%) zerosZeros
6-ordered Chi path-cluster weighted by sigma electrons has 36 (6.2%) zerosZeros
4-ordered Chi path-cluster weighted by valence electrons has 17 (2.9%) zerosZeros
5-ordered Chi path-cluster weighted by valence electrons has 21 (3.6%) zerosZeros
6-ordered Chi path-cluster weighted by valence electrons has 36 (6.2%) zerosZeros
3-ordered Chi path weighted by sigma electrons has 7 (1.2%) zerosZeros
4-ordered Chi path weighted by sigma electrons has 14 (2.4%) zerosZeros
5-ordered Chi path weighted by sigma electrons has 34 (5.8%) zerosZeros
6-ordered Chi path weighted by sigma electrons has 64 (11.0%) zerosZeros
7-ordered Chi path weighted by sigma electrons has 173 (29.7%) zerosZeros
3-ordered Chi path weighted by valence electrons has 7 (1.2%) zerosZeros
4-ordered Chi path weighted by valence electrons has 14 (2.4%) zerosZeros
5-ordered Chi path weighted by valence electrons has 34 (5.8%) zerosZeros
6-ordered Chi path weighted by valence electrons has 64 (11.0%) zerosZeros
7-ordered Chi path weighted by valence electrons has 173 (29.7%) zerosZeros
number of sLi has 583 (100.0%) zerosZeros
number of ssBe has 583 (100.0%) zerosZeros
number of ssssBe has 583 (100.0%) zerosZeros
number of ssBH has 583 (100.0%) zerosZeros
number of sssB has 583 (100.0%) zerosZeros
number of ssssB has 476 (81.6%) zerosZeros
number of sCH3 has 19 (3.3%) zerosZeros
number of dCH2 has 575 (98.6%) zerosZeros
number of ssCH2 has 44 (7.5%) zerosZeros
number of tCH has 581 (99.7%) zerosZeros
number of dsCH has 551 (94.5%) zerosZeros
number of aaCH has 351 (60.2%) zerosZeros
number of sssCH has 533 (91.4%) zerosZeros
number of ddC has 583 (100.0%) zerosZeros
number of tsC has 535 (91.8%) zerosZeros
number of dssC has 517 (88.7%) zerosZeros
number of aasC has 498 (85.4%) zerosZeros
number of aaaC has 573 (98.3%) zerosZeros
number of ssssC has 334 (57.3%) zerosZeros
number of sNH3 has 564 (96.7%) zerosZeros
number of sNH2 has 581 (99.7%) zerosZeros
number of ssNH2 has 564 (96.7%) zerosZeros
number of dNH has 583 (100.0%) zerosZeros
number of ssNH has 570 (97.8%) zerosZeros
number of aaNH has 583 (100.0%) zerosZeros
number of tN has 539 (92.5%) zerosZeros
number of sssNH has 559 (95.9%) zerosZeros
number of dsN has 570 (97.8%) zerosZeros
number of aaN has 568 (97.4%) zerosZeros
number of sssN has 577 (99.0%) zerosZeros
number of ddsN has 560 (96.1%) zerosZeros
number of aasN has 372 (63.8%) zerosZeros
number of ssssN has 328 (56.3%) zerosZeros
number of sOH has 543 (93.1%) zerosZeros
number of dO has 272 (46.7%) zerosZeros
number of ssO has 469 (80.4%) zerosZeros
number of aaO has 582 (99.8%) zerosZeros
number of sF has 224 (38.4%) zerosZeros
number of sSiH3 has 583 (100.0%) zerosZeros
number of ssSiH2 has 583 (100.0%) zerosZeros
number of sssSiH has 583 (100.0%) zerosZeros
number of ssssSi has 583 (100.0%) zerosZeros
number of sPH2 has 583 (100.0%) zerosZeros
number of ssPH has 583 (100.0%) zerosZeros
number of sssP has 583 (100.0%) zerosZeros
number of dsssP has 581 (99.7%) zerosZeros
number of sssssP has 583 (100.0%) zerosZeros
number of sSH has 583 (100.0%) zerosZeros
number of dS has 583 (100.0%) zerosZeros
number of ssS has 583 (100.0%) zerosZeros
number of aaS has 580 (99.5%) zerosZeros
number of dssS has 583 (100.0%) zerosZeros
number of ddssS has 340 (58.3%) zerosZeros
number of sCl has 579 (99.3%) zerosZeros
number of sGeH3 has 583 (100.0%) zerosZeros
number of ssGeH2 has 583 (100.0%) zerosZeros
number of sssGeH has 583 (100.0%) zerosZeros
number of ssssGe has 583 (100.0%) zerosZeros
number of sAsH2 has 583 (100.0%) zerosZeros
number of ssAsH has 583 (100.0%) zerosZeros
number of sssAs has 583 (100.0%) zerosZeros
number of sssdAs has 583 (100.0%) zerosZeros
number of sssssAs has 583 (100.0%) zerosZeros
number of sSeH has 583 (100.0%) zerosZeros
number of dSe has 583 (100.0%) zerosZeros
number of ssSe has 583 (100.0%) zerosZeros
number of aaSe has 583 (100.0%) zerosZeros
number of dssSe has 583 (100.0%) zerosZeros
number of ddssSe has 583 (100.0%) zerosZeros
number of sBr has 578 (99.1%) zerosZeros
number of sSnH3 has 583 (100.0%) zerosZeros
number of ssSnH2 has 583 (100.0%) zerosZeros
number of sssSnH has 583 (100.0%) zerosZeros
number of ssssSn has 583 (100.0%) zerosZeros
number of sI has 583 (100.0%) zerosZeros
number of sPbH3 has 583 (100.0%) zerosZeros
number of ssPbH2 has 583 (100.0%) zerosZeros
number of sssPbH has 583 (100.0%) zerosZeros
number of ssssPb has 583 (100.0%) zerosZeros
sum of sLi has 583 (100.0%) zerosZeros
sum of ssBe has 583 (100.0%) zerosZeros
sum of ssssBe has 583 (100.0%) zerosZeros
sum of ssBH has 583 (100.0%) zerosZeros
sum of sssB has 583 (100.0%) zerosZeros
sum of ssssB has 476 (81.6%) zerosZeros
sum of sCH3 has 19 (3.3%) zerosZeros
sum of dCH2 has 575 (98.6%) zerosZeros
sum of ssCH2 has 44 (7.5%) zerosZeros
sum of tCH has 581 (99.7%) zerosZeros
sum of dsCH has 551 (94.5%) zerosZeros
sum of aaCH has 351 (60.2%) zerosZeros
sum of sssCH has 533 (91.4%) zerosZeros
sum of ddC has 583 (100.0%) zerosZeros
sum of tsC has 535 (91.8%) zerosZeros
sum of dssC has 517 (88.7%) zerosZeros
sum of aasC has 498 (85.4%) zerosZeros
sum of aaaC has 573 (98.3%) zerosZeros
sum of ssssC has 334 (57.3%) zerosZeros
sum of sNH3 has 564 (96.7%) zerosZeros
sum of sNH2 has 581 (99.7%) zerosZeros
sum of ssNH2 has 564 (96.7%) zerosZeros
sum of dNH has 583 (100.0%) zerosZeros
sum of ssNH has 570 (97.8%) zerosZeros
sum of aaNH has 583 (100.0%) zerosZeros
sum of tN has 539 (92.5%) zerosZeros
sum of sssNH has 559 (95.9%) zerosZeros
sum of dsN has 570 (97.8%) zerosZeros
sum of aaN has 568 (97.4%) zerosZeros
sum of sssN has 577 (99.0%) zerosZeros
sum of ddsN has 560 (96.1%) zerosZeros
sum of aasN has 372 (63.8%) zerosZeros
sum of ssssN has 328 (56.3%) zerosZeros
sum of sOH has 543 (93.1%) zerosZeros
sum of dO has 272 (46.7%) zerosZeros
sum of ssO has 469 (80.4%) zerosZeros
sum of aaO has 582 (99.8%) zerosZeros
sum of sF has 224 (38.4%) zerosZeros
sum of sSiH3 has 583 (100.0%) zerosZeros
sum of ssSiH2 has 583 (100.0%) zerosZeros
sum of sssSiH has 583 (100.0%) zerosZeros
sum of ssssSi has 583 (100.0%) zerosZeros
sum of sPH2 has 583 (100.0%) zerosZeros
sum of ssPH has 583 (100.0%) zerosZeros
sum of sssP has 583 (100.0%) zerosZeros
sum of dsssP has 581 (99.7%) zerosZeros
sum of sssssP has 583 (100.0%) zerosZeros
sum of sSH has 583 (100.0%) zerosZeros
sum of dS has 583 (100.0%) zerosZeros
sum of ssS has 583 (100.0%) zerosZeros
sum of aaS has 580 (99.5%) zerosZeros
sum of dssS has 583 (100.0%) zerosZeros
sum of ddssS has 340 (58.3%) zerosZeros
sum of sCl has 579 (99.3%) zerosZeros
sum of sGeH3 has 583 (100.0%) zerosZeros
sum of ssGeH2 has 583 (100.0%) zerosZeros
sum of sssGeH has 583 (100.0%) zerosZeros
sum of ssssGe has 583 (100.0%) zerosZeros
sum of sAsH2 has 583 (100.0%) zerosZeros
sum of ssAsH has 583 (100.0%) zerosZeros
sum of sssAs has 583 (100.0%) zerosZeros
sum of sssdAs has 583 (100.0%) zerosZeros
sum of sssssAs has 583 (100.0%) zerosZeros
sum of sSeH has 583 (100.0%) zerosZeros
sum of dSe has 583 (100.0%) zerosZeros
sum of ssSe has 583 (100.0%) zerosZeros
sum of aaSe has 583 (100.0%) zerosZeros
sum of dssSe has 583 (100.0%) zerosZeros
sum of ddssSe has 583 (100.0%) zerosZeros
sum of sBr has 578 (99.1%) zerosZeros
sum of sSnH3 has 583 (100.0%) zerosZeros
sum of ssSnH2 has 583 (100.0%) zerosZeros
sum of sssSnH has 583 (100.0%) zerosZeros
sum of ssssSn has 583 (100.0%) zerosZeros
sum of sI has 583 (100.0%) zerosZeros
sum of sPbH3 has 583 (100.0%) zerosZeros
sum of ssPbH2 has 583 (100.0%) zerosZeros
sum of sssPbH has 583 (100.0%) zerosZeros
sum of ssssPb has 583 (100.0%) zerosZeros
molecular framework ratio has 214 (36.7%) zerosZeros
number of hydrogen bond acceptor has 89 (15.3%) zerosZeros
number of hydrogen bond donor has 482 (82.7%) zerosZeros
MOE Charge VSA Descriptor 1 (-inf < x < -0.30) has 47 (8.1%) zerosZeros
MOE Charge VSA Descriptor 2 (-0.30 <= x < -0.25) has 497 (85.2%) zerosZeros
MOE Charge VSA Descriptor 3 (-0.25 <= x < -0.20) has 162 (27.8%) zerosZeros
MOE Charge VSA Descriptor 4 (-0.20 <= x < -0.15) has 331 (56.8%) zerosZeros
MOE Charge VSA Descriptor 5 (-0.15 <= x < -0.10) has 543 (93.1%) zerosZeros
MOE Charge VSA Descriptor 6 (-0.10 <= x < -0.05) has 205 (35.2%) zerosZeros
MOE Charge VSA Descriptor 7 (-0.05 <= x < 0.00) has 99 (17.0%) zerosZeros
MOE Charge VSA Descriptor 8 ( 0.00 <= x < 0.05) has 333 (57.1%) zerosZeros
MOE Charge VSA Descriptor 9 ( 0.05 <= x < 0.10) has 46 (7.9%) zerosZeros
MOE Charge VSA Descriptor 10 ( 0.10 <= x < 0.15) has 250 (42.9%) zerosZeros
MOE Charge VSA Descriptor 11 ( 0.15 <= x < 0.20) has 332 (56.9%) zerosZeros
MOE Charge VSA Descriptor 12 ( 0.20 <= x < 0.25) has 402 (69.0%) zerosZeros
MOE Charge VSA Descriptor 13 ( 0.25 <= x < 0.30) has 522 (89.5%) zerosZeros
MOE MR VSA Descriptor 2 ( 1.29 <= x < 1.82) has 539 (92.5%) zerosZeros
MOE MR VSA Descriptor 3 ( 1.82 <= x < 2.24) has 394 (67.6%) zerosZeros
MOE MR VSA Descriptor 4 ( 2.24 <= x < 2.45) has 399 (68.4%) zerosZeros
MOE MR VSA Descriptor 5 ( 2.45 <= x < 2.75) has 27 (4.6%) zerosZeros
MOE MR VSA Descriptor 6 ( 2.75 <= x < 3.05) has 189 (32.4%) zerosZeros
MOE MR VSA Descriptor 7 ( 3.05 <= x < 3.63) has 222 (38.1%) zerosZeros
MOE MR VSA Descriptor 8 ( 3.63 <= x < 3.80) has 583 (100.0%) zerosZeros
MOE MR VSA Descriptor 9 ( 3.80 <= x < 4.00) has 532 (91.3%) zerosZeros
MOE logP VSA Descriptor 1 (-inf < x < -0.40) has 227 (38.9%) zerosZeros
MOE logP VSA Descriptor 2 (-0.40 <= x < -0.20) has 22 (3.8%) zerosZeros
MOE logP VSA Descriptor 3 (-0.20 <= x < 0.00) has 116 (19.9%) zerosZeros
MOE logP VSA Descriptor 4 ( 0.00 <= x < 0.10) has 427 (73.2%) zerosZeros
MOE logP VSA Descriptor 5 ( 0.10 <= x < 0.15) has 71 (12.2%) zerosZeros
MOE logP VSA Descriptor 6 ( 0.15 <= x < 0.20) has 332 (56.9%) zerosZeros
MOE logP VSA Descriptor 7 ( 0.20 <= x < 0.25) has 580 (99.5%) zerosZeros
MOE logP VSA Descriptor 8 ( 0.25 <= x < 0.30) has 435 (74.6%) zerosZeros
MOE logP VSA Descriptor 9 ( 0.30 <= x < 0.40) has 583 (100.0%) zerosZeros
MOE logP VSA Descriptor 10 ( 0.40 <= x < 0.50) has 220 (37.7%) zerosZeros
MOE logP VSA Descriptor 11 ( 0.50 <= x < 0.60) has 583 (100.0%) zerosZeros
EState VSA Descriptor 1 (-inf < x < -0.39) has 88 (15.1%) zerosZeros
EState VSA Descriptor 2 ( -0.39 <= x < 0.29) has 421 (72.2%) zerosZeros
EState VSA Descriptor 3 ( 0.29 <= x < 0.72) has 490 (84.0%) zerosZeros
EState VSA Descriptor 4 ( 0.72 <= x < 1.17) has 225 (38.6%) zerosZeros
EState VSA Descriptor 5 ( 1.17 <= x < 1.54) has 99 (17.0%) zerosZeros
EState VSA Descriptor 6 ( 1.54 <= x < 1.81) has 474 (81.3%) zerosZeros
EState VSA Descriptor 7 ( 1.81 <= x < 2.05) has 422 (72.4%) zerosZeros
EState VSA Descriptor 8 ( 2.05 <= x < 4.69) has 14 (2.4%) zerosZeros
EState VSA Descriptor 9 ( 4.69 <= x < 9.17) has 328 (56.3%) zerosZeros
EState VSA Descriptor 10 ( 9.17 <= x < 15.00) has 161 (27.6%) zerosZeros
VSA EState Descriptor 1 (-inf < x < 4.78) has 44 (7.5%) zerosZeros
VSA EState Descriptor 2 ( 4.78 <= x < 5.00) has 460 (78.9%) zerosZeros
VSA EState Descriptor 3 ( 5.00 <= x < 5.41) has 413 (70.8%) zerosZeros
VSA EState Descriptor 4 ( 5.41 <= x < 5.74) has 364 (62.4%) zerosZeros
VSA EState Descriptor 5 ( 5.74 <= x < 6.00) has 384 (65.9%) zerosZeros
VSA EState Descriptor 6 ( 6.00 <= x < 6.07) has 471 (80.8%) zerosZeros
VSA EState Descriptor 7 ( 6.07 <= x < 6.45) has 72 (12.3%) zerosZeros
VSA EState Descriptor 8 ( 6.45 <= x < 7.00) has 28 (4.8%) zerosZeros
VSA EState Descriptor 9 ( 7.00 <= x < 11.00) has 67 (11.5%) zerosZeros
3-ordered path count has 7 (1.2%) zerosZeros
4-ordered path count has 14 (2.4%) zerosZeros
5-ordered path count has 34 (5.8%) zerosZeros
6-ordered path count has 64 (11.0%) zerosZeros
7-ordered path count has 173 (29.7%) zerosZeros
8-ordered path count has 247 (42.4%) zerosZeros
9-ordered path count has 345 (59.2%) zerosZeros
10-ordered path count has 401 (68.8%) zerosZeros
3-ordered pi-path count (log scale) has 7 (1.2%) zerosZeros
4-ordered pi-path count (log scale) has 14 (2.4%) zerosZeros
5-ordered pi-path count (log scale) has 34 (5.8%) zerosZeros
6-ordered pi-path count (log scale) has 64 (11.0%) zerosZeros
7-ordered pi-path count (log scale) has 173 (29.7%) zerosZeros
8-ordered pi-path count (log scale) has 247 (42.4%) zerosZeros
9-ordered pi-path count (log scale) has 345 (59.2%) zerosZeros
10-ordered pi-path count (log scale) has 401 (68.8%) zerosZeros
ring count has 214 (36.7%) zerosZeros
3-membered ring count has 583 (100.0%) zerosZeros
4-membered ring count has 583 (100.0%) zerosZeros
5-membered ring count has 322 (55.2%) zerosZeros
6-membered ring count has 454 (77.9%) zerosZeros
7-membered ring count has 583 (100.0%) zerosZeros
8-membered ring count has 583 (100.0%) zerosZeros
9-membered ring count has 583 (100.0%) zerosZeros
10-membered ring count has 583 (100.0%) zerosZeros
11-membered ring count has 583 (100.0%) zerosZeros
12-membered ring count has 583 (100.0%) zerosZeros
12-or-greater-membered ring count has 583 (100.0%) zerosZeros
hetero ring count has 245 (42.0%) zerosZeros
3-membered hetero ring count has 583 (100.0%) zerosZeros
4-membered hetero ring count has 583 (100.0%) zerosZeros
5-membered hetero ring count has 322 (55.2%) zerosZeros
6-membered hetero ring count has 506 (86.8%) zerosZeros
7-membered hetero ring count has 583 (100.0%) zerosZeros
8-membered hetero ring count has 583 (100.0%) zerosZeros
9-membered hetero ring count has 583 (100.0%) zerosZeros
10-membered hetero ring count has 583 (100.0%) zerosZeros
11-membered hetero ring count has 583 (100.0%) zerosZeros
12-membered hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered hetero ring count has 583 (100.0%) zerosZeros
aromatic ring count has 349 (59.9%) zerosZeros
3-membered aromatic ring count has 583 (100.0%) zerosZeros
4-membered aromatic ring count has 583 (100.0%) zerosZeros
5-membered aromatic ring count has 412 (70.7%) zerosZeros
6-membered aromatic ring count has 501 (85.9%) zerosZeros
7-membered aromatic ring count has 583 (100.0%) zerosZeros
8-membered aromatic ring count has 583 (100.0%) zerosZeros
9-membered aromatic ring count has 583 (100.0%) zerosZeros
10-membered aromatic ring count has 583 (100.0%) zerosZeros
11-membered aromatic ring count has 583 (100.0%) zerosZeros
12-membered aromatic ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aromatic ring count has 583 (100.0%) zerosZeros
aromatic hetero ring count has 371 (63.6%) zerosZeros
3-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
4-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
5-membered aromatic hetero ring count has 412 (70.7%) zerosZeros
6-membered aromatic hetero ring count has 542 (93.0%) zerosZeros
7-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
8-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
9-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
10-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
11-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
12-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aromatic hetero ring count has 583 (100.0%) zerosZeros
aliphatic ring count has 446 (76.5%) zerosZeros
3-membered aliphatic ring count has 583 (100.0%) zerosZeros
4-membered aliphatic ring count has 583 (100.0%) zerosZeros
5-membered aliphatic ring count has 493 (84.6%) zerosZeros
6-membered aliphatic ring count has 536 (91.9%) zerosZeros
7-membered aliphatic ring count has 583 (100.0%) zerosZeros
8-membered aliphatic ring count has 583 (100.0%) zerosZeros
9-membered aliphatic ring count has 583 (100.0%) zerosZeros
10-membered aliphatic ring count has 583 (100.0%) zerosZeros
11-membered aliphatic ring count has 583 (100.0%) zerosZeros
12-membered aliphatic ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aliphatic ring count has 583 (100.0%) zerosZeros
aliphatic hetero ring count has 457 (78.4%) zerosZeros
3-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
4-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
5-membered aliphatic hetero ring count has 493 (84.6%) zerosZeros
6-membered aliphatic hetero ring count has 547 (93.8%) zerosZeros
7-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
8-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
9-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
10-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
11-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
12-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aliphatic hetero ring count has 583 (100.0%) zerosZeros
fused ring count has 573 (98.3%) zerosZeros
4-membered fused ring count has 583 (100.0%) zerosZeros
5-membered fused ring count has 583 (100.0%) zerosZeros
6-membered fused ring count has 583 (100.0%) zerosZeros
7-membered fused ring count has 583 (100.0%) zerosZeros
8-membered fused ring count has 583 (100.0%) zerosZeros
9-membered fused ring count has 573 (98.3%) zerosZeros
10-membered fused ring count has 583 (100.0%) zerosZeros
11-membered fused ring count has 583 (100.0%) zerosZeros
12-membered fused ring count has 583 (100.0%) zerosZeros
12-or-greater-membered fused ring count has 583 (100.0%) zerosZeros
fused hetero ring count has 573 (98.3%) zerosZeros
4-membered fused hetero ring count has 583 (100.0%) zerosZeros
5-membered fused hetero ring count has 583 (100.0%) zerosZeros
6-membered fused hetero ring count has 583 (100.0%) zerosZeros
7-membered fused hetero ring count has 583 (100.0%) zerosZeros
8-membered fused hetero ring count has 583 (100.0%) zerosZeros
9-membered fused hetero ring count has 573 (98.3%) zerosZeros
10-membered fused hetero ring count has 583 (100.0%) zerosZeros
11-membered fused hetero ring count has 583 (100.0%) zerosZeros
12-membered fused hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered fused hetero ring count has 583 (100.0%) zerosZeros
aromatic fused ring count has 573 (98.3%) zerosZeros
4-membered aromatic fused ring count has 583 (100.0%) zerosZeros
5-membered aromatic fused ring count has 583 (100.0%) zerosZeros
6-membered aromatic fused ring count has 583 (100.0%) zerosZeros
7-membered aromatic fused ring count has 583 (100.0%) zerosZeros
8-membered aromatic fused ring count has 583 (100.0%) zerosZeros
9-membered aromatic fused ring count has 573 (98.3%) zerosZeros
10-membered aromatic fused ring count has 583 (100.0%) zerosZeros
11-membered aromatic fused ring count has 583 (100.0%) zerosZeros
12-membered aromatic fused ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aromatic fused ring count has 583 (100.0%) zerosZeros
aromatic fused hetero ring count has 573 (98.3%) zerosZeros
4-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
5-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
6-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
7-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
8-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
9-membered aromatic fused hetero ring count has 573 (98.3%) zerosZeros
10-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
11-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
12-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aromatic fused hetero ring count has 583 (100.0%) zerosZeros
aliphatic fused ring count has 583 (100.0%) zerosZeros
4-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
5-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
6-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
7-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
8-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
9-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
10-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
11-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
12-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aliphatic fused ring count has 583 (100.0%) zerosZeros
aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
4-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
5-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
6-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
7-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
8-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
9-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
10-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
11-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
12-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
12-or-greater-membered aliphatic fused hetero ring count has 583 (100.0%) zerosZeros
rotatable bonds count has 28 (4.8%) zerosZeros
rotatable bonds ratio has 28 (4.8%) zerosZeros
topological polar surface area (use only nitrogen and oxygen) has 72 (12.3%) zerosZeros
topological polar surface area has 72 (12.3%) zerosZeros
2-ordered raw topological charge has 10 (1.7%) zerosZeros
3-ordered raw topological charge has 17 (2.9%) zerosZeros
4-ordered raw topological charge has 55 (9.4%) zerosZeros
5-ordered raw topological charge has 93 (16.0%) zerosZeros
6-ordered raw topological charge has 229 (39.3%) zerosZeros
7-ordered raw topological charge has 312 (53.5%) zerosZeros
8-ordered raw topological charge has 403 (69.1%) zerosZeros
9-ordered raw topological charge has 430 (73.8%) zerosZeros
10-ordered raw topological charge has 461 (79.1%) zerosZeros
2-ordered mean topological charge has 10 (1.7%) zerosZeros
3-ordered mean topological charge has 17 (2.9%) zerosZeros
4-ordered mean topological charge has 55 (9.4%) zerosZeros
5-ordered mean topological charge has 93 (16.0%) zerosZeros
6-ordered mean topological charge has 229 (39.3%) zerosZeros
7-ordered mean topological charge has 312 (53.5%) zerosZeros
8-ordered mean topological charge has 403 (69.1%) zerosZeros
9-ordered mean topological charge has 430 (73.8%) zerosZeros
10-ordered mean topological charge has 461 (79.1%) zerosZeros
topological shape index has 583 (100.0%) zerosZeros
Petitjean index has 583 (100.0%) zerosZeros
walk count (leg-3, only self returning walk) has 583 (100.0%) zerosZeros
walk count (leg-5, only self returning walk) has 322 (55.2%) zerosZeros
walk count (leg-7, only self returning walk) has 322 (55.2%) zerosZeros
walk count (leg-9, only self returning walk) has 322 (55.2%) zerosZeros
Wiener polarity index has 10 (1.7%) zerosZeros

Reproduction

Analysis started2023-02-02 08:23:59.611165
Analysis finished2023-02-02 08:24:29.694181
Duration30.08 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

Distinct426
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.49607835
Minimum2.828427125
Maximum63.33772728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:31.021946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.828427125
5-th percentile6.167584189
Q110.88872282
median15.09564736
Q318.88792616
95-th percentile26.30361246
Maximum63.33772728
Range60.50930016
Interquartile range (IQR)7.999203339

Descriptive statistics

Standard deviation7.033716678
Coefficient of variation (CV)0.4539030147
Kurtosis10.06507227
Mean15.49607835
Median Absolute Deviation (MAD)3.981739705
Skewness2.072823506
Sum9034.213676
Variance49.47317031
MonotonicityNot monotonic
2023-02-02T09:24:32.204759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.24227621 6
 
1.0%
20.7788878 5
 
0.9%
17.6631735 5
 
0.9%
10.53516943 5
 
0.9%
10.69408805 5
 
0.9%
17.82209212 5
 
0.9%
16.01860903 4
 
0.7%
19.07738706 4
 
0.7%
18.52919891 4
 
0.7%
7.229986434 4
 
0.7%
Other values (416) 536
91.9%
ValueCountFrequency (%)
2.828427125 1
0.2%
3.047206724 1
0.2%
3.535533906 1
0.2%
3.863703305 2
0.3%
4.242640687 1
0.2%
ValueCountFrequency (%)
63.33772728 1
0.2%
58.33845099 1
0.2%
58.22906119 1
0.2%
54.09581031 1
0.2%
53.38870352 1
0.2%
Distinct493
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.1013754
Minimum2.828427125
Maximum52.7002427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:33.655529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.828427125
5-th percentile6.524304227
Q110.85574034
median14.87241795
Q318.50292215
95-th percentile24.46262832
Maximum52.7002427
Range49.87181557
Interquartile range (IQR)7.647181811

Descriptive statistics

Standard deviation6.256336074
Coefficient of variation (CV)0.4142891563
Kurtosis6.017971948
Mean15.1013754
Median Absolute Deviation (MAD)3.783615187
Skewness1.533103199
Sum8804.101858
Variance39.14174107
MonotonicityNot monotonic
2023-02-02T09:24:35.151490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.69106756 5
 
0.9%
18.42405879 4
 
0.7%
21.07696959 4
 
0.7%
10.78692405 4
 
0.7%
8.468189337 3
 
0.5%
13.23962382 3
 
0.5%
9.977226813 3
 
0.5%
18.52082844 3
 
0.5%
12.54955636 3
 
0.5%
12.07674525 3
 
0.5%
Other values (483) 548
94.0%
ValueCountFrequency (%)
2.828427125 1
0.2%
3.305182993 1
0.2%
3.754313505 1
0.2%
3.863703305 2
0.3%
4.429961097 2
0.3%
ValueCountFrequency (%)
52.7002427 1
0.2%
48.72344998 1
0.2%
48.12395976 1
0.2%
46.14321942 1
0.2%
45.64605905 1
0.2%

acidic group count
Real number (ℝ)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.005145798
Minimum0
Maximum4
Zeros34
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:35.911593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.448335146
Coefficient of variation (CV)0.4460399148
Kurtosis24.53765767
Mean1.005145798
Median Absolute Deviation (MAD)0
Skewness3.46660896
Sum586
Variance0.2010044031
MonotonicityNot monotonic
2023-02-02T09:24:36.585276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 528
90.6%
0 34
 
5.8%
2 12
 
2.1%
4 7
 
1.2%
3 2
 
0.3%
ValueCountFrequency (%)
0 34
 
5.8%
1 528
90.6%
2 12
 
2.1%
3 2
 
0.3%
4 7
 
1.2%
ValueCountFrequency (%)
4 7
 
1.2%
3 2
 
0.3%
2 12
 
2.1%
1 528
90.6%
0 34
 
5.8%

basic group count
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.034305317
Minimum0
Maximum3
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:37.149010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2244270814
Coefficient of variation (CV)0.2169833971
Kurtosis46.37231396
Mean1.034305317
Median Absolute Deviation (MAD)0
Skewness6.2474
Sum603
Variance0.05036751487
MonotonicityNot monotonic
2023-02-02T09:24:37.535346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 565
96.9%
2 13
 
2.2%
3 4
 
0.7%
0 1
 
0.2%
ValueCountFrequency (%)
0 1
 
0.2%
1 565
96.9%
2 13
 
2.2%
3 4
 
0.7%
ValueCountFrequency (%)
3 4
 
0.7%
2 13
 
2.2%
1 565
96.9%
0 1
 
0.2%

aromatic atoms count
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.698113208
Minimum0
Maximum30
Zeros349
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:37.983198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile9
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.346438271
Coefficient of variation (CV)1.610917681
Kurtosis12.60137185
Mean2.698113208
Median Absolute Deviation (MAD)0
Skewness2.918066081
Sum1573
Variance18.89152564
MonotonicityNot monotonic
2023-02-02T09:24:38.919772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
12 8
 
1.4%
9 7
 
1.2%
11 6
 
1.0%
24 4
 
0.7%
29 3
 
0.5%
15 2
 
0.3%
18 2
 
0.3%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
9 7
 
1.2%
11 6
 
1.0%
ValueCountFrequency (%)
30 1
 
0.2%
29 3
0.5%
24 4
0.7%
21 1
 
0.2%
18 2
0.3%

aromatic bonds count
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715265866
Minimum0
Maximum30
Zeros349
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:39.536600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.382630142
Coefficient of variation (CV)1.614070356
Kurtosis12.29210284
Mean2.715265866
Median Absolute Deviation (MAD)0
Skewness2.896399643
Sum1583
Variance19.20744697
MonotonicityNot monotonic
2023-02-02T09:24:40.497883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
12 8
 
1.4%
10 7
 
1.2%
11 6
 
1.0%
24 4
 
0.7%
29 3
 
0.5%
16 2
 
0.3%
18 2
 
0.3%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
10 7
 
1.2%
11 6
 
1.0%
ValueCountFrequency (%)
30 1
 
0.2%
29 3
0.5%
24 4
0.7%
22 1
 
0.2%
18 2
0.3%

number of all atoms
Real number (ℝ)

Distinct88
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.64493997
Minimum11
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:42.602736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q132
median41
Q350
95-th percentile84
Maximum149
Range138
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.18733396
Coefficient of variation (CV)0.4297762294
Kurtosis2.946684726
Mean44.64493997
Median Absolute Deviation (MAD)9
Skewness1.424783053
Sum26028
Variance368.1537845
MonotonicityNot monotonic
2023-02-02T09:24:44.267901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 24
 
4.1%
45 22
 
3.8%
37 20
 
3.4%
39 19
 
3.3%
44 18
 
3.1%
33 18
 
3.1%
38 17
 
2.9%
50 16
 
2.7%
30 15
 
2.6%
32 15
 
2.6%
Other values (78) 399
68.4%
ValueCountFrequency (%)
11 1
 
0.2%
14 3
0.5%
15 2
0.3%
16 1
 
0.2%
17 3
0.5%
ValueCountFrequency (%)
149 1
0.2%
118 1
0.2%
117 2
0.3%
116 2
0.3%
114 1
0.2%

number of heavy atoms
Real number (ℝ)

Distinct44
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.77701544
Minimum6
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:46.120377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q116
median21
Q326
95-th percentile36
Maximum83
Range77
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.069321802
Coefficient of variation (CV)0.4164630286
Kurtosis8.821916301
Mean21.77701544
Median Absolute Deviation (MAD)5
Skewness1.935972906
Sum12696
Variance82.25259795
MonotonicityNot monotonic
2023-02-02T09:24:47.405039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
16 38
 
6.5%
22 33
 
5.7%
25 32
 
5.5%
17 32
 
5.5%
24 29
 
5.0%
18 27
 
4.6%
27 26
 
4.5%
15 26
 
4.5%
21 25
 
4.3%
14 24
 
4.1%
Other values (34) 291
49.9%
ValueCountFrequency (%)
6 2
 
0.3%
7 5
0.9%
8 8
1.4%
9 10
1.7%
10 10
1.7%
ValueCountFrequency (%)
83 1
 
0.2%
75 2
0.3%
69 1
 
0.2%
68 1
 
0.2%
48 3
0.5%

number of spiro atoms
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:48.791521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:24:49.438605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of bridgehead atoms
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:50.506485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:24:51.428163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of hetero atoms
Real number (ℝ)

Distinct26
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.144082333
Minimum2
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:52.617781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median8
Q314
95-th percentile18
Maximum29
Range27
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.28693798
Coefficient of variation (CV)0.5781813623
Kurtosis0.9258047325
Mean9.144082333
Median Absolute Deviation (MAD)4
Skewness0.8953731937
Sum5331
Variance27.9517132
MonotonicityNot monotonic
2023-02-02T09:24:53.541148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7 61
10.5%
3 60
10.3%
14 60
10.3%
9 56
9.6%
15 53
9.1%
6 52
8.9%
8 47
8.1%
2 39
 
6.7%
5 31
 
5.3%
10 21
 
3.6%
Other values (16) 103
17.7%
ValueCountFrequency (%)
2 39
6.7%
3 60
10.3%
4 20
 
3.4%
5 31
5.3%
6 52
8.9%
ValueCountFrequency (%)
29 2
0.3%
27 4
0.7%
26 4
0.7%
25 2
0.3%
23 1
 
0.2%

number of H atoms
Real number (ℝ)

Distinct57
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.86792453
Minimum5
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:55.138672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q114
median20
Q327
95-th percentile52
Maximum78
Range73
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.68633151
Coefficient of variation (CV)0.5547653218
Kurtosis2.144791136
Mean22.86792453
Median Absolute Deviation (MAD)6
Skewness1.489516022
Sum13332
Variance160.9430072
MonotonicityNot monotonic
2023-02-02T09:24:57.350670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 49
 
8.4%
18 41
 
7.0%
16 36
 
6.2%
22 35
 
6.0%
11 28
 
4.8%
14 26
 
4.5%
15 24
 
4.1%
13 23
 
3.9%
12 19
 
3.3%
17 19
 
3.3%
Other values (47) 283
48.5%
ValueCountFrequency (%)
5 2
 
0.3%
7 10
1.7%
8 6
 
1.0%
9 17
2.9%
10 18
3.1%
ValueCountFrequency (%)
78 1
 
0.2%
76 1
 
0.2%
68 3
0.5%
66 1
 
0.2%
62 1
 
0.2%

number of B atoms
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1835334477
Minimum0
Maximum1
Zeros476
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:58.243995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3874356639
Coefficient of variation (CV)2.110981234
Kurtosis0.6895617439
Mean0.1835334477
Median Absolute Deviation (MAD)0
Skewness1.639270556
Sum107
Variance0.1501063936
MonotonicityNot monotonic
2023-02-02T09:24:58.787262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 476
81.6%
1 107
 
18.4%
ValueCountFrequency (%)
0 476
81.6%
1 107
 
18.4%
ValueCountFrequency (%)
1 107
 
18.4%
0 476
81.6%

number of C atoms
Real number (ℝ)

Distinct38
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.6329331
Minimum2
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:24:59.940558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median11
Q315
95-th percentile25
Maximum57
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.84153573
Coefficient of variation (CV)0.5415635208
Kurtosis6.276140546
Mean12.6329331
Median Absolute Deviation (MAD)3
Skewness1.91518611
Sum7365
Variance46.80661114
MonotonicityNot monotonic
2023-02-02T09:25:01.075505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
10 61
 
10.5%
9 56
 
9.6%
8 55
 
9.4%
11 47
 
8.1%
13 39
 
6.7%
7 39
 
6.7%
12 38
 
6.5%
14 31
 
5.3%
6 24
 
4.1%
20 22
 
3.8%
Other values (28) 171
29.3%
ValueCountFrequency (%)
2 5
 
0.9%
3 5
 
0.9%
4 13
2.2%
5 17
2.9%
6 24
4.1%
ValueCountFrequency (%)
57 1
0.2%
49 1
0.2%
48 1
0.2%
42 1
0.2%
41 1
0.2%

number of N atoms
Real number (ℝ)

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.69296741
Minimum0
Maximum6
Zeros20
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:01.950926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3.9
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9176029268
Coefficient of variation (CV)0.5420086184
Kurtosis2.392747566
Mean1.69296741
Median Absolute Deviation (MAD)1
Skewness1.181043562
Sum987
Variance0.8419951312
MonotonicityNot monotonic
2023-02-02T09:25:03.348287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 254
43.6%
2 232
39.8%
3 47
 
8.1%
4 24
 
4.1%
0 20
 
3.4%
5 4
 
0.7%
6 2
 
0.3%
ValueCountFrequency (%)
0 20
 
3.4%
1 254
43.6%
2 232
39.8%
3 47
 
8.1%
4 24
 
4.1%
ValueCountFrequency (%)
6 2
 
0.3%
5 4
 
0.7%
4 24
 
4.1%
3 47
 
8.1%
2 232
39.8%

number of O atoms
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.185248714
Minimum0
Maximum8
Zeros204
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:04.567929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.97840278
Coefficient of variation (CV)0.9053444431
Kurtosis-0.6882060589
Mean2.185248714
Median Absolute Deviation (MAD)2
Skewness0.3852553492
Sum1274
Variance3.914077558
MonotonicityNot monotonic
2023-02-02T09:25:05.707229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 204
35.0%
4 134
23.0%
3 101
17.3%
1 49
 
8.4%
2 43
 
7.4%
5 28
 
4.8%
6 16
 
2.7%
8 8
 
1.4%
ValueCountFrequency (%)
0 204
35.0%
1 49
 
8.4%
2 43
 
7.4%
3 101
17.3%
4 134
23.0%
ValueCountFrequency (%)
8 8
 
1.4%
6 16
 
2.7%
5 28
 
4.8%
4 134
23.0%
3 101
17.3%

number of S atoms
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6740994854
Minimum0
Maximum3
Zeros328
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:06.598351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8495793402
Coefficient of variation (CV)1.260317444
Kurtosis-0.7485215413
Mean0.6740994854
Median Absolute Deviation (MAD)0
Skewness0.8122561113
Sum393
Variance0.7217850554
MonotonicityNot monotonic
2023-02-02T09:25:07.545557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 328
56.3%
1 125
 
21.4%
2 122
 
20.9%
3 8
 
1.4%
ValueCountFrequency (%)
0 328
56.3%
1 125
 
21.4%
2 122
 
20.9%
3 8
 
1.4%
ValueCountFrequency (%)
3 8
 
1.4%
2 122
 
20.9%
1 125
 
21.4%
0 328
56.3%

number of P atoms
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1475128645
Minimum0
Maximum2
Zeros499
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:08.970552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3644746105
Coefficient of variation (CV)2.470798813
Kurtosis3.585170378
Mean0.1475128645
Median Absolute Deviation (MAD)0
Skewness2.204744375
Sum86
Variance0.1328417417
MonotonicityNot monotonic
2023-02-02T09:25:09.873401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 499
85.6%
1 82
 
14.1%
2 2
 
0.3%
ValueCountFrequency (%)
0 499
85.6%
1 82
 
14.1%
2 2
 
0.3%
ValueCountFrequency (%)
2 2
 
0.3%
1 82
 
14.1%
0 499
85.6%

number of F atoms
Real number (ℝ)

Distinct16
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.041166381
Minimum0
Maximum24
Zeros224
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:11.193426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile12
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.377977535
Coefficient of variation (CV)1.083345035
Kurtosis3.740777839
Mean4.041166381
Median Absolute Deviation (MAD)4
Skewness1.54292353
Sum2356
Variance19.1666873
MonotonicityNot monotonic
2023-02-02T09:25:12.146901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 224
38.4%
6 162
27.8%
4 52
 
8.9%
3 47
 
8.1%
9 22
 
3.8%
10 19
 
3.3%
12 12
 
2.1%
2 11
 
1.9%
8 11
 
1.9%
18 7
 
1.2%
Other values (6) 16
 
2.7%
ValueCountFrequency (%)
0 224
38.4%
2 11
 
1.9%
3 47
 
8.1%
4 52
 
8.9%
5 3
 
0.5%
ValueCountFrequency (%)
24 5
0.9%
19 2
 
0.3%
18 7
1.2%
17 3
0.5%
15 2
 
0.3%

number of Cl atoms
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09605488851
Minimum0
Maximum4
Zeros533
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:12.875664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3580707331
Coefficient of variation (CV)3.727772096
Kurtosis49.4332951
Mean0.09605488851
Median Absolute Deviation (MAD)0
Skewness5.782662412
Sum56
Variance0.1282146499
MonotonicityNot monotonic
2023-02-02T09:25:13.869127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 533
91.4%
1 48
 
8.2%
4 2
 
0.3%
ValueCountFrequency (%)
0 533
91.4%
1 48
 
8.2%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
1 48
 
8.2%
0 533
91.4%

number of Br atoms
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09777015437
Minimum0
Maximum4
Zeros541
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:15.366225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4375562825
Coefficient of variation (CV)4.475356363
Kurtosis53.05651832
Mean0.09777015437
Median Absolute Deviation (MAD)0
Skewness6.66357812
Sum57
Variance0.1914555003
MonotonicityNot monotonic
2023-02-02T09:25:16.472355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 541
92.8%
1 37
 
6.3%
4 5
 
0.9%
ValueCountFrequency (%)
0 541
92.8%
1 37
 
6.3%
4 5
 
0.9%
ValueCountFrequency (%)
4 5
 
0.9%
1 37
 
6.3%
0 541
92.8%

number of I atoms
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01372212693
Minimum0
Maximum1
Zeros575
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:17.765826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1164348924
Coefficient of variation (CV)8.485192783
Kurtosis68.48512931
Mean0.01372212693
Median Absolute Deviation (MAD)0
Skewness8.381539197
Sum8
Variance0.01355708417
MonotonicityNot monotonic
2023-02-02T09:25:18.771429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 575
98.6%
1 8
 
1.4%
ValueCountFrequency (%)
0 575
98.6%
1 8
 
1.4%
ValueCountFrequency (%)
1 8
 
1.4%
0 575
98.6%

number of halogen atoms
Real number (ℝ)

Distinct18
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.248713551
Minimum0
Maximum24
Zeros126
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:19.493870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile12
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.223347098
Coefficient of variation (CV)0.9940296158
Kurtosis4.343084477
Mean4.248713551
Median Absolute Deviation (MAD)3
Skewness1.660911948
Sum2477
Variance17.83666071
MonotonicityNot monotonic
2023-02-02T09:25:20.128910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6 160
27.4%
0 126
21.6%
1 91
15.6%
4 59
 
10.1%
3 47
 
8.1%
9 22
 
3.8%
10 19
 
3.3%
12 12
 
2.1%
8 11
 
1.9%
2 11
 
1.9%
Other values (8) 25
 
4.3%
ValueCountFrequency (%)
0 126
21.6%
1 91
15.6%
2 11
 
1.9%
3 47
 
8.1%
4 59
10.1%
ValueCountFrequency (%)
24 5
0.9%
19 2
 
0.3%
18 7
1.2%
17 3
0.5%
15 2
 
0.3%
Distinct431
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.948171
Minimum32.46639232
Maximum1734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:20.725661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum32.46639232
5-th percentile69.16790123
Q1212.4444444
median352.8888889
Q3550.4691358
95-th percentile767.6444444
Maximum1734
Range1701.533608
Interquartile range (IQR)338.0246914

Descriptive statistics

Standard deviation264.6433679
Coefficient of variation (CV)0.675199905
Kurtosis5.13995771
Mean391.948171
Median Absolute Deviation (MAD)173.308642
Skewness1.656461296
Sum228505.7837
Variance70036.11215
MonotonicityNot monotonic
2023-02-02T09:25:21.540144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416.4444444 6
 
1.0%
250 5
 
0.9%
366.4444444 5
 
0.9%
408.4444444 4
 
0.7%
580.8888889 4
 
0.7%
362 4
 
0.7%
290 4
 
0.7%
334 4
 
0.7%
254 4
 
0.7%
592.8888889 4
 
0.7%
Other values (421) 539
92.5%
ValueCountFrequency (%)
32.46639232 1
0.2%
32.66392318 1
0.2%
40.46639232 2
0.3%
44.98765432 1
0.2%
46.0877915 1
0.2%
ValueCountFrequency (%)
1734 1
0.2%
1726 1
0.2%
1724 1
0.2%
1710 1
0.2%
1706 1
0.2%
Distinct432
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.6178063
Minimum20
Maximum1271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:22.199962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile55.03333333
Q1112.5
median186
Q3271.3333333
95-th percentile453.6
Maximum1271
Range1251
Interquartile range (IQR)158.8333333

Descriptive statistics

Standard deviation158.7498829
Coefficient of variation (CV)0.7328570335
Kurtosis14.95413344
Mean216.6178063
Median Absolute Deviation (MAD)77.55555556
Skewness2.947524416
Sum126288.1811
Variance25201.52533
MonotonicityNot monotonic
2023-02-02T09:25:22.789095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 5
 
0.9%
239 5
 
0.9%
84 5
 
0.9%
160 5
 
0.9%
124 4
 
0.7%
237.3333333 4
 
0.7%
111 4
 
0.7%
72 4
 
0.7%
176 4
 
0.7%
154 4
 
0.7%
Other values (422) 539
92.5%
ValueCountFrequency (%)
20 1
0.2%
24.01646091 1
0.2%
25 1
0.2%
32.46090535 1
0.2%
35.11111111 1
0.2%
ValueCountFrequency (%)
1271 1
0.2%
1262 1
0.2%
1258 1
0.2%
1247 1
0.2%
1243 1
0.2%
Distinct470
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean538.7980716
Minimum11.88888889
Maximum2663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:23.671718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.88888889
5-th percentile63.05555556
Q1233.5
median456
Q3785.9444444
95-th percentile1087.633333
Maximum2663
Range2651.111111
Interquartile range (IQR)552.4444444

Descriptive statistics

Standard deviation407.4211358
Coefficient of variation (CV)0.7561666556
Kurtosis5.484176518
Mean538.7980716
Median Absolute Deviation (MAD)292
Skewness1.666522513
Sum314119.2757
Variance165991.9819
MonotonicityNot monotonic
2023-02-02T09:25:24.365887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456 5
 
0.9%
113 4
 
0.7%
713.4444444 4
 
0.7%
464 4
 
0.7%
431 3
 
0.5%
352 3
 
0.5%
762.4444444 3
 
0.5%
758.4444444 3
 
0.5%
874 3
 
0.5%
115 3
 
0.5%
Other values (460) 548
94.0%
ValueCountFrequency (%)
11.88888889 1
0.2%
19.88888889 1
0.2%
27.40329218 1
0.2%
36.6255144 1
0.2%
37.40329218 1
0.2%
ValueCountFrequency (%)
2663 1
0.2%
2650 1
0.2%
2640 1
0.2%
2639 1
0.2%
2635 1
0.2%
Distinct371
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.9453021
Minimum0
Maximum2666
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:25.095543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.3
Q166
median174
Q3805.6666667
95-th percentile1435.8
Maximum2666
Range2666
Interquartile range (IQR)739.6666667

Descriptive statistics

Standard deviation543.0231789
Coefficient of variation (CV)1.185781744
Kurtosis3.38812484
Mean457.9453021
Median Absolute Deviation (MAD)148
Skewness1.733933092
Sum266982.1111
Variance294874.1729
MonotonicityNot monotonic
2023-02-02T09:25:26.672221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
8 8
 
1.4%
48 7
 
1.2%
64 7
 
1.2%
108 7
 
1.2%
28 5
 
0.9%
62 5
 
0.9%
96 5
 
0.9%
835.3333333 5
 
0.9%
46 5
 
0.9%
Other values (361) 519
89.0%
ValueCountFrequency (%)
0 10
1.7%
1 2
 
0.3%
2 1
 
0.2%
4 2
 
0.3%
7 1
 
0.2%
ValueCountFrequency (%)
2666 1
0.2%
2664 1
0.2%
2633.333333 1
0.2%
2627.333333 1
0.2%
2618.333333 1
0.2%
Distinct315
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.6965885
Minimum0
Maximum2843
Zeros29
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:28.036953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q138.5
median108
Q3324
95-th percentile1101.7
Maximum2843
Range2843
Interquartile range (IQR)285.5

Descriptive statistics

Standard deviation463.1338682
Coefficient of variation (CV)1.604223557
Kurtosis11.243515
Mean288.6965885
Median Absolute Deviation (MAD)96
Skewness3.128391243
Sum168310.1111
Variance214492.9799
MonotonicityNot monotonic
2023-02-02T09:25:29.029414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
5.0%
22 12
 
2.1%
9 9
 
1.5%
60 8
 
1.4%
33 8
 
1.4%
1 8
 
1.4%
49 7
 
1.2%
30 6
 
1.0%
287 6
 
1.0%
35 6
 
1.0%
Other values (305) 484
83.0%
ValueCountFrequency (%)
0 29
5.0%
1 8
 
1.4%
2 4
 
0.7%
3 4
 
0.7%
4 4
 
0.7%
ValueCountFrequency (%)
2843 1
0.2%
2841 1
0.2%
2821 1
0.2%
2808 1
0.2%
2388 1
0.2%
Distinct239
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.3952735
Minimum0
Maximum3060
Zeros64
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:30.426056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median76
Q3658.5
95-th percentile818.2555556
Maximum3060
Range3060
Interquartile range (IQR)642.5

Descriptive statistics

Standard deviation479.8879839
Coefficient of variation (CV)1.566238207
Kurtosis10.53050158
Mean306.3952735
Median Absolute Deviation (MAD)75
Skewness2.822321498
Sum178628.4444
Variance230292.4771
MonotonicityNot monotonic
2023-02-02T09:25:31.344185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
11.0%
672 25
 
4.3%
1 19
 
3.3%
9 14
 
2.4%
22 14
 
2.4%
28 10
 
1.7%
13 9
 
1.5%
10 8
 
1.4%
4 8
 
1.4%
72 7
 
1.2%
Other values (229) 405
69.5%
ValueCountFrequency (%)
0 64
11.0%
1 19
 
3.3%
2 4
 
0.7%
3 2
 
0.3%
4 8
 
1.4%
ValueCountFrequency (%)
3060 1
0.2%
3016 2
0.3%
2992 1
0.2%
2985 1
0.2%
2308 1
0.2%
Distinct185
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.7562417
Minimum0
Maximum5064
Zeros110
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:32.200010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median52
Q3441
95-th percentile898.2
Maximum5064
Range5064
Interquartile range (IQR)437

Descriptive statistics

Standard deviation537.5628873
Coefficient of variation (CV)2.260983281
Kurtosis51.95750439
Mean237.7562417
Median Absolute Deviation (MAD)52
Skewness6.407189674
Sum138611.8889
Variance288973.8578
MonotonicityNot monotonic
2023-02-02T09:25:33.176638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110
 
18.9%
441 51
 
8.7%
1 16
 
2.7%
4 16
 
2.7%
60 13
 
2.2%
9 11
 
1.9%
8 9
 
1.5%
3 9
 
1.5%
2 9
 
1.5%
76 8
 
1.4%
Other values (175) 331
56.8%
ValueCountFrequency (%)
0 110
18.9%
1 16
 
2.7%
2 9
 
1.5%
3 9
 
1.5%
4 16
 
2.7%
ValueCountFrequency (%)
5064 1
0.2%
5016 2
0.3%
4989 1
0.2%
4978 1
0.2%
1684 1
0.2%
Distinct106
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.88907947
Minimum0
Maximum4188
Zeros269
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:34.117028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q348
95-th percentile356
Maximum4188
Range4188
Interquartile range (IQR)48

Descriptive statistics

Standard deviation413.0806302
Coefficient of variation (CV)4.447031153
Kurtosis77.09639758
Mean92.88907947
Median Absolute Deviation (MAD)1
Skewness8.381000707
Sum54154.33333
Variance170635.607
MonotonicityNot monotonic
2023-02-02T09:25:35.102844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 269
46.1%
1 24
 
4.1%
4 13
 
2.2%
12 13
 
2.2%
3 12
 
2.1%
6 12
 
2.1%
48 12
 
2.1%
24 11
 
1.9%
72 11
 
1.9%
2 8
 
1.4%
Other values (96) 198
34.0%
ValueCountFrequency (%)
0 269
46.1%
1 24
 
4.1%
2 8
 
1.4%
3 12
 
2.1%
4 13
 
2.2%
ValueCountFrequency (%)
4188 1
0.2%
4136 2
0.3%
4102 1
0.2%
4089 1
0.2%
1348 1
0.2%
Distinct82
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.29007052
Minimum0
Maximum4860
Zeros339
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:36.184775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331
95-th percentile399
Maximum4860
Range4860
Interquartile range (IQR)31

Descriptive statistics

Standard deviation466.2092944
Coefficient of variation (CV)5.466161437
Kurtosis88.63299886
Mean85.29007052
Median Absolute Deviation (MAD)0
Skewness9.165333396
Sum49724.11111
Variance217351.1062
MonotonicityNot monotonic
2023-02-02T09:25:37.751103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 339
58.1%
1 18
 
3.1%
3 14
 
2.4%
6 9
 
1.5%
399 8
 
1.4%
48 7
 
1.2%
102 7
 
1.2%
31 7
 
1.2%
441 7
 
1.2%
60 7
 
1.2%
Other values (72) 160
27.4%
ValueCountFrequency (%)
0 339
58.1%
1 18
 
3.1%
2 2
 
0.3%
3 14
 
2.4%
4 5
 
0.9%
ValueCountFrequency (%)
4860 1
 
0.2%
4810 2
0.3%
4767 1
 
0.2%
4759 1
 
0.2%
1644 3
0.5%
Distinct182
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.9794168
Minimum21
Maximum494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:39.133529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile48.1
Q186
median117
Q3148.5
95-th percentile212.6
Maximum494
Range473
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation55.14310893
Coefficient of variation (CV)0.4520689668
Kurtosis8.491859802
Mean121.9794168
Median Absolute Deviation (MAD)31
Skewness1.851399848
Sum71114
Variance3040.762462
MonotonicityNot monotonic
2023-02-02T09:25:40.768266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158 13
 
2.2%
140 13
 
2.2%
146 10
 
1.7%
100 10
 
1.7%
92 10
 
1.7%
134 9
 
1.5%
88 8
 
1.4%
102 8
 
1.4%
122 8
 
1.4%
120 8
 
1.4%
Other values (172) 486
83.4%
ValueCountFrequency (%)
21 2
0.3%
26 1
0.2%
27 1
0.2%
29 1
0.2%
32 2
0.3%
ValueCountFrequency (%)
494 1
0.2%
443 1
0.2%
440 1
0.2%
407 1
0.2%
401 1
0.2%
Distinct201
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.2298456
Minimum20
Maximum610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:42.036142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile53.1
Q196
median136
Q3176.5
95-th percentile263.1
Maximum610
Range590
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation70.30707317
Coefficient of variation (CV)0.4874654955
Kurtosis7.650973676
Mean144.2298456
Median Absolute Deviation (MAD)40
Skewness1.796775295
Sum84086
Variance4943.084537
MonotonicityNot monotonic
2023-02-02T09:25:43.100746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116 10
 
1.7%
108 10
 
1.7%
96 9
 
1.5%
95 8
 
1.4%
124 8
 
1.4%
100 8
 
1.4%
88 7
 
1.2%
183 7
 
1.2%
175 7
 
1.2%
164 7
 
1.2%
Other values (191) 502
86.1%
ValueCountFrequency (%)
20 1
0.2%
21 1
0.2%
23 1
0.2%
26 1
0.2%
28 1
0.2%
ValueCountFrequency (%)
610 1
0.2%
543 1
0.2%
541 1
0.2%
495 1
0.2%
487 1
0.2%
Distinct277
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.3910806
Minimum25
Maximum915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:44.028966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile73
Q1141.5
median196
Q3261
95-th percentile387.9
Maximum915
Range890
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation105.680505
Coefficient of variation (CV)0.4999288743
Kurtosis6.881947366
Mean211.3910806
Median Absolute Deviation (MAD)58
Skewness1.726218879
Sum123241
Variance11168.36913
MonotonicityNot monotonic
2023-02-02T09:25:44.919067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221 8
 
1.4%
147 7
 
1.2%
219 7
 
1.2%
127 7
 
1.2%
163 6
 
1.0%
120 6
 
1.0%
167 6
 
1.0%
193 6
 
1.0%
177 6
 
1.0%
165 6
 
1.0%
Other values (267) 518
88.9%
ValueCountFrequency (%)
25 1
0.2%
27 2
0.3%
28 1
0.2%
30 1
0.2%
34 1
0.2%
ValueCountFrequency (%)
915 1
0.2%
791 1
0.2%
780 1
0.2%
713 1
0.2%
700 1
0.2%
Distinct277
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.6174957
Minimum18
Maximum1158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:46.161384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile53.4
Q1132
median195
Q3269
95-th percentile434.7
Maximum1158
Range1140
Interquartile range (IQR)137

Descriptive statistics

Standard deviation133.0721176
Coefficient of variation (CV)0.6171675317
Kurtosis9.02134228
Mean215.6174957
Median Absolute Deviation (MAD)67
Skewness2.099399825
Sum125705
Variance17708.18849
MonotonicityNot monotonic
2023-02-02T09:25:47.689932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216 9
 
1.5%
135 8
 
1.4%
212 7
 
1.2%
222 7
 
1.2%
214 6
 
1.0%
162 6
 
1.0%
144 6
 
1.0%
168 6
 
1.0%
99 5
 
0.9%
104 5
 
0.9%
Other values (267) 518
88.9%
ValueCountFrequency (%)
18 4
0.7%
19 2
0.3%
21 1
 
0.2%
24 1
 
0.2%
30 1
 
0.2%
ValueCountFrequency (%)
1158 1
0.2%
984 1
0.2%
980 1
0.2%
884 1
0.2%
868 1
0.2%
Distinct260
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.2555746
Minimum7
Maximum1344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:49.123569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q1113
median168
Q3248
95-th percentile461.8
Maximum1344
Range1337
Interquartile range (IQR)135

Descriptive statistics

Standard deviation149.4786295
Coefficient of variation (CV)0.7390581437
Kurtosis13.10973291
Mean202.2555746
Median Absolute Deviation (MAD)65
Skewness2.662925014
Sum117915
Variance22343.86069
MonotonicityNot monotonic
2023-02-02T09:25:50.383824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 9
 
1.5%
22 8
 
1.4%
83 8
 
1.4%
96 8
 
1.4%
99 7
 
1.2%
189 7
 
1.2%
126 7
 
1.2%
186 6
 
1.0%
132 6
 
1.0%
176 6
 
1.0%
Other values (250) 511
87.7%
ValueCountFrequency (%)
7 2
 
0.3%
9 5
0.9%
18 3
0.5%
20 3
0.5%
21 1
 
0.2%
ValueCountFrequency (%)
1344 1
0.2%
1140 1
0.2%
1131 1
0.2%
1044 1
0.2%
1028 1
0.2%
Distinct228
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.4408233
Minimum0
Maximum1464
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:51.560166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q169
median123
Q3204
95-th percentile466.8
Maximum1464
Range1464
Interquartile range (IQR)135

Descriptive statistics

Standard deviation164.8405129
Coefficient of variation (CV)0.9786256658
Kurtosis15.27325342
Mean168.4408233
Median Absolute Deviation (MAD)63
Skewness3.015497377
Sum98201
Variance27172.39469
MonotonicityNot monotonic
2023-02-02T09:25:52.720436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 18
 
3.1%
36 17
 
2.9%
105 11
 
1.9%
0 10
 
1.7%
66 9
 
1.5%
3 9
 
1.5%
90 8
 
1.4%
50 8
 
1.4%
24 8
 
1.4%
57 7
 
1.2%
Other values (218) 478
82.0%
ValueCountFrequency (%)
0 10
1.7%
2 2
 
0.3%
3 9
1.5%
9 4
 
0.7%
12 6
1.0%
ValueCountFrequency (%)
1464 1
0.2%
1233 1
0.2%
1232 1
0.2%
1137 1
0.2%
1120 1
0.2%
Distinct199
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.8078902
Minimum0
Maximum1608
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:54.101748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median69
Q3171.5
95-th percentile443.7
Maximum1608
Range1608
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation179.8850744
Coefficient of variation (CV)1.314873537
Kurtosis19.13724801
Mean136.8078902
Median Absolute Deviation (MAD)51
Skewness3.50875709
Sum79759
Variance32358.64001
MonotonicityNot monotonic
2023-02-02T09:25:55.307744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
9 26
 
4.5%
18 16
 
2.7%
15 15
 
2.6%
39 15
 
2.6%
64 15
 
2.6%
27 14
 
2.4%
36 13
 
2.2%
53 10
 
1.7%
24 9
 
1.5%
Other values (189) 418
71.7%
ValueCountFrequency (%)
0 32
5.5%
3 3
 
0.5%
9 26
4.5%
12 5
 
0.9%
14 3
 
0.5%
ValueCountFrequency (%)
1608 1
0.2%
1364 1
0.2%
1360 1
0.2%
1267 1
0.2%
1251 1
0.2%
Distinct154
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.4391081
Minimum0
Maximum1728
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:25:57.038537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median45
Q3144
95-th percentile432
Maximum1728
Range1728
Interquartile range (IQR)135

Descriptive statistics

Standard deviation190.5083974
Coefficient of variation (CV)1.664714105
Kurtosis22.78835733
Mean114.4391081
Median Absolute Deviation (MAD)45
Skewness3.922102218
Sum66718
Variance36293.44946
MonotonicityNot monotonic
2023-02-02T09:25:58.771836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
9 34
 
5.8%
45 23
 
3.9%
39 20
 
3.4%
18 17
 
2.9%
36 16
 
2.7%
15 14
 
2.4%
12 14
 
2.4%
27 10
 
1.7%
48 10
 
1.7%
Other values (144) 316
54.2%
ValueCountFrequency (%)
0 109
18.7%
1 1
 
0.2%
2 1
 
0.2%
3 7
 
1.2%
4 4
 
0.7%
ValueCountFrequency (%)
1728 1
0.2%
1468 1
0.2%
1464 1
0.2%
1371 1
0.2%
1349 1
0.2%
Distinct130
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.37907376
Minimum0
Maximum1698
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:00.032706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q3115
95-th percentile426
Maximum1698
Range1698
Interquartile range (IQR)115

Descriptive statistics

Standard deviation184.4725425
Coefficient of variation (CV)1.97552337
Kurtosis25.24037833
Mean93.37907376
Median Absolute Deviation (MAD)18
Skewness4.22594109
Sum54440
Variance34030.11894
MonotonicityNot monotonic
2023-02-02T09:26:01.061235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
9 38
 
6.5%
18 21
 
3.6%
12 20
 
3.4%
15 16
 
2.7%
24 12
 
2.1%
30 11
 
1.9%
33 11
 
1.9%
27 10
 
1.7%
6 8
 
1.4%
Other values (120) 243
41.7%
ValueCountFrequency (%)
0 193
33.1%
1 1
 
0.2%
2 2
 
0.3%
3 5
 
0.9%
6 8
 
1.4%
ValueCountFrequency (%)
1698 1
0.2%
1428 1
0.2%
1424 1
0.2%
1325 1
0.2%
1311 1
0.2%
Distinct443
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1426.250429
Minimum294
Maximum5716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:02.196428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum294
5-th percentile590.8
Q1932
median1338
Q31750
95-th percentile2663.8
Maximum5716
Range5422
Interquartile range (IQR)818

Descriptive statistics

Standard deviation731.7983984
Coefficient of variation (CV)0.5130925002
Kurtosis8.269569663
Mean1426.250429
Median Absolute Deviation (MAD)410
Skewness2.13135257
Sum831504
Variance535528.8959
MonotonicityNot monotonic
2023-02-02T09:26:03.356904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
772 4
 
0.7%
1732 4
 
0.7%
932 4
 
0.7%
1770 4
 
0.7%
1072 3
 
0.5%
1340 3
 
0.5%
1164 3
 
0.5%
1756 3
 
0.5%
1516 3
 
0.5%
1656 3
 
0.5%
Other values (433) 549
94.2%
ValueCountFrequency (%)
294 1
0.2%
332 2
0.3%
368 1
0.2%
370 2
0.3%
406 2
0.3%
ValueCountFrequency (%)
5716 1
0.2%
5540 1
0.2%
5464 2
0.3%
5388 1
0.2%
4136 1
0.2%
Distinct396
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1270.049743
Minimum208
Maximum3888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:04.573100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum208
5-th percentile459.3
Q1801
median1242
Q31682
95-th percentile2269
Maximum3888
Range3680
Interquartile range (IQR)881

Descriptive statistics

Standard deviation581.2842335
Coefficient of variation (CV)0.4576861944
Kurtosis0.9105958553
Mean1270.049743
Median Absolute Deviation (MAD)442
Skewness0.6949596349
Sum740439
Variance337891.3601
MonotonicityNot monotonic
2023-02-02T09:26:05.612997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1080 7
 
1.2%
1242 6
 
1.0%
1738 5
 
0.9%
1128 5
 
0.9%
720 5
 
0.9%
1320 5
 
0.9%
1416 4
 
0.7%
1154 4
 
0.7%
1732 4
 
0.7%
1032 4
 
0.7%
Other values (386) 534
91.6%
ValueCountFrequency (%)
208 1
0.2%
231 1
0.2%
279 2
0.3%
289 2
0.3%
297 1
0.2%
ValueCountFrequency (%)
3888 1
0.2%
3510 1
0.2%
3486 1
0.2%
3222 1
0.2%
3174 1
0.2%
Distinct516
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1960.250429
Minimum191
Maximum8365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:06.798503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum191
5-th percentile568.8
Q11110.5
median1791
Q32591.5
95-th percentile3836.4
Maximum8365
Range8174
Interquartile range (IQR)1481

Descriptive statistics

Standard deviation1183.563309
Coefficient of variation (CV)0.6037816859
Kurtosis6.088429744
Mean1960.250429
Median Absolute Deviation (MAD)727
Skewness1.827494505
Sum1142826
Variance1400822.106
MonotonicityNot monotonic
2023-02-02T09:26:08.141935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
658 3
 
0.5%
1861 3
 
0.5%
1184 3
 
0.5%
2490 3
 
0.5%
2480 3
 
0.5%
1613 3
 
0.5%
1540 2
 
0.3%
911 2
 
0.3%
1081 2
 
0.3%
1636 2
 
0.3%
Other values (506) 557
95.5%
ValueCountFrequency (%)
191 1
0.2%
248 1
0.2%
252 1
0.2%
292 1
0.2%
303 1
0.2%
ValueCountFrequency (%)
8365 1
0.2%
8109 1
0.2%
7982 1
0.2%
7977 1
0.2%
7855 1
0.2%
Distinct479
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1714.528302
Minimum48
Maximum6718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:09.495347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile292.5
Q1786
median1408
Q32475.5
95-th percentile4052.6
Maximum6718
Range6670
Interquartile range (IQR)1689.5

Descriptive statistics

Standard deviation1234.147278
Coefficient of variation (CV)0.7198173846
Kurtosis2.552747932
Mean1714.528302
Median Absolute Deviation (MAD)726
Skewness1.426239299
Sum999570
Variance1523119.504
MonotonicityNot monotonic
2023-02-02T09:26:10.816752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183 5
 
0.9%
1279 5
 
0.9%
378 5
 
0.9%
972 5
 
0.9%
1398 4
 
0.7%
543 4
 
0.7%
1792 4
 
0.7%
662 3
 
0.5%
1017 3
 
0.5%
1600 3
 
0.5%
Other values (469) 542
93.0%
ValueCountFrequency (%)
48 1
0.2%
51 2
0.3%
75 1
0.2%
99 1
0.2%
108 1
0.2%
ValueCountFrequency (%)
6718 1
0.2%
6550 1
0.2%
6417 1
0.2%
6292 1
0.2%
6143 1
0.2%
Distinct433
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1364.780446
Minimum9
Maximum7524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:12.032525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile133.7
Q1542.5
median1132
Q31882
95-th percentile3084
Maximum7524
Range7515
Interquartile range (IQR)1339.5

Descriptive statistics

Standard deviation1124.59333
Coefficient of variation (CV)0.8240104358
Kurtosis5.573285793
Mean1364.780446
Median Absolute Deviation (MAD)655
Skewness1.915902986
Sum795667
Variance1264710.158
MonotonicityNot monotonic
2023-02-02T09:26:13.542128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 8
 
1.4%
251 8
 
1.4%
407 6
 
1.0%
9 5
 
0.9%
1175 5
 
0.9%
338 5
 
0.9%
914 5
 
0.9%
1523 4
 
0.7%
919 4
 
0.7%
1920 4
 
0.7%
Other values (423) 529
90.7%
ValueCountFrequency (%)
9 5
0.9%
20 3
0.5%
27 2
 
0.3%
41 2
 
0.3%
51 3
0.5%
ValueCountFrequency (%)
7524 1
0.2%
6691 1
0.2%
6671 1
0.2%
6307 1
0.2%
6243 1
0.2%
Distinct380
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1125.396226
Minimum0
Maximum8804
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:14.796510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q1325.5
median894
Q31598.5
95-th percentile2901.7
Maximum8804
Range8804
Interquartile range (IQR)1273

Descriptive statistics

Standard deviation1117.976567
Coefficient of variation (CV)0.993407069
Kurtosis11.61849436
Mean1125.396226
Median Absolute Deviation (MAD)606
Skewness2.63558599
Sum656106
Variance1249871.604
MonotonicityNot monotonic
2023-02-02T09:26:16.105219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122 12
 
2.1%
320 12
 
2.1%
0 10
 
1.7%
3 9
 
1.5%
367 8
 
1.4%
233 7
 
1.2%
712 5
 
0.9%
1364 5
 
0.9%
176 5
 
0.9%
1093 5
 
0.9%
Other values (370) 505
86.6%
ValueCountFrequency (%)
0 10
1.7%
2 2
 
0.3%
3 9
1.5%
9 3
 
0.5%
12 2
 
0.3%
ValueCountFrequency (%)
8804 1
0.2%
7889 1
0.2%
7876 1
0.2%
7505 1
0.2%
7441 1
0.2%
Distinct315
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean878.5849057
Minimum0
Maximum12612
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:17.031479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1198.5
median659
Q31094.5
95-th percentile2399.5
Maximum12612
Range12612
Interquartile range (IQR)896

Descriptive statistics

Standard deviation1265.583579
Coefficient of variation (CV)1.440479538
Kurtosis43.95745387
Mean878.5849057
Median Absolute Deviation (MAD)455
Skewness5.602737749
Sum512215
Variance1601701.796
MonotonicityNot monotonic
2023-02-02T09:26:17.982860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
45 16
 
2.7%
9 12
 
2.1%
238 12
 
2.1%
236 12
 
2.1%
729 11
 
1.9%
125 8
 
1.4%
756 7
 
1.2%
27 6
 
1.0%
1032 6
 
1.0%
Other values (305) 461
79.1%
ValueCountFrequency (%)
0 32
5.5%
3 3
 
0.5%
9 12
 
2.1%
12 5
 
0.9%
18 5
 
0.9%
ValueCountFrequency (%)
12612 1
0.2%
11636 1
0.2%
11620 1
0.2%
11252 1
0.2%
11183 1
0.2%
Distinct217
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean569.9125214
Minimum0
Maximum12696
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:18.691178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median137
Q3712
95-th percentile2220
Maximum12696
Range12696
Interquartile range (IQR)703

Descriptive statistics

Standard deviation1235.654184
Coefficient of variation (CV)2.168147106
Kurtosis55.13993726
Mean569.9125214
Median Absolute Deviation (MAD)137
Skewness6.546117119
Sum332259
Variance1526841.262
MonotonicityNot monotonic
2023-02-02T09:26:19.849757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
9 29
 
5.0%
89 14
 
2.4%
12 12
 
2.1%
45 11
 
1.9%
125 11
 
1.9%
1752 11
 
1.9%
153 8
 
1.4%
1056 7
 
1.2%
968 6
 
1.0%
Other values (207) 365
62.6%
ValueCountFrequency (%)
0 109
18.7%
3 4
 
0.7%
4 2
 
0.3%
6 3
 
0.5%
7 1
 
0.2%
ValueCountFrequency (%)
12696 1
0.2%
11656 1
0.2%
11640 1
0.2%
11267 1
0.2%
11180 1
0.2%
Distinct162
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.5077187
Minimum0
Maximum12936
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:21.109108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q3552
95-th percentile2040
Maximum12936
Range12936
Interquartile range (IQR)552

Descriptive statistics

Standard deviation1228.253553
Coefficient of variation (CV)2.638524569
Kurtosis62.76720499
Mean465.5077187
Median Absolute Deviation (MAD)42
Skewness7.157419483
Sum271391
Variance1508606.79
MonotonicityNot monotonic
2023-02-02T09:26:22.435264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
9 23
 
3.9%
12 18
 
3.1%
45 11
 
1.9%
27 10
 
1.7%
18 10
 
1.7%
6 8
 
1.4%
54 7
 
1.2%
648 7
 
1.2%
96 7
 
1.2%
Other values (152) 289
49.6%
ValueCountFrequency (%)
0 193
33.1%
1 1
 
0.2%
2 2
 
0.3%
3 4
 
0.7%
6 8
 
1.4%
ValueCountFrequency (%)
12936 1
0.2%
11832 1
0.2%
11816 1
0.2%
11420 1
0.2%
11309 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6026.346173
Minimum1150.06899
Maximum28839.29722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:24.172600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1150.06899
5-th percentile2380.195243
Q13755.654399
median5462.353216
Q37341.892945
95-th percentile10974.09874
Maximum28839.29722
Range27689.22823
Interquartile range (IQR)3586.238546

Descriptive statistics

Standard deviation3563.626102
Coefficient of variation (CV)0.591341088
Kurtosis12.97370616
Mean6026.346173
Median Absolute Deviation (MAD)1811.251025
Skewness2.833024604
Sum3513359.819
Variance12699431
MonotonicityNot monotonic
2023-02-02T09:26:25.125627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7246.845986 4
 
0.7%
7100.549737 3
 
0.5%
6807.957239 3
 
0.5%
7208.189361 3
 
0.5%
7291.665466 3
 
0.5%
6828.251646 2
 
0.3%
4584.575722 2
 
0.3%
4225.858337 2
 
0.3%
7584.257964 2
 
0.3%
6243.06665 2
 
0.3%
Other values (516) 557
95.5%
ValueCountFrequency (%)
1150.06899 1
0.2%
1296.365239 2
0.3%
1440.62936 1
0.2%
1442.661488 1
0.2%
1456.952855 1
0.2%
ValueCountFrequency (%)
28839.29722 1
0.2%
28076.11933 1
0.2%
27783.52684 2
0.3%
27490.93434 1
0.2%
20401.29978 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4906.647552
Minimum765.409456
Maximum15113.92987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:26.335454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum765.409456
5-th percentile1690.868581
Q12990.908697
median4663.592548
Q36544.038488
95-th percentile8942.886146
Maximum15113.92987
Range14348.52041
Interquartile range (IQR)3553.12979

Descriptive statistics

Standard deviation2343.475112
Coefficient of variation (CV)0.4776122775
Kurtosis0.8791478528
Mean4906.647552
Median Absolute Deviation (MAD)1772.638013
Skewness0.7345899028
Sum2860575.523
Variance5491875.6
MonotonicityNot monotonic
2023-02-02T09:26:28.184334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2503.020334 4
 
0.7%
6857.216111 3
 
0.5%
1431.134672 3
 
0.5%
1768.091266 3
 
0.5%
4611.321784 2
 
0.3%
6749.753694 2
 
0.3%
5430.720194 2
 
0.3%
2482.119803 2
 
0.3%
6749.753694 2
 
0.3%
6604.708858 2
 
0.3%
Other values (518) 558
95.7%
ValueCountFrequency (%)
765.409456 1
0.2%
811.829872 1
0.2%
980.308169 2
0.3%
1072.21609 2
0.3%
1087.688785 1
0.2%
ValueCountFrequency (%)
15113.92987 1
0.2%
13873.56591 1
0.2%
13789.53695 1
0.2%
12862.69613 1
0.2%
12694.21783 1
0.2%
Distinct565
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7656.56973
Minimum588.667326
Maximum41750.88026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:30.350028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum588.667326
5-th percentile2027.540365
Q14051.43459
median6669.072866
Q310367.91208
95-th percentile15064.6676
Maximum41750.88026
Range41162.21293
Interquartile range (IQR)6316.477485

Descriptive statistics

Standard deviation5292.327787
Coefficient of variation (CV)0.6912139475
Kurtosis12.26464445
Mean7656.56973
Median Absolute Deviation (MAD)2961.434543
Skewness2.600993312
Sum4463780.153
Variance28008733.41
MonotonicityNot monotonic
2023-02-02T09:26:32.105542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1272.145711 2
 
0.3%
1785.428574 2
 
0.3%
13208.4461 2
 
0.3%
9630.507409 2
 
0.3%
6348.613014 2
 
0.3%
6039.908936 2
 
0.3%
4045.181678 2
 
0.3%
3028.215512 2
 
0.3%
4031.546934 2
 
0.3%
7202.160158 2
 
0.3%
Other values (555) 563
96.6%
ValueCountFrequency (%)
588.667326 1
0.2%
782.375863 1
0.2%
899.339736 1
0.2%
980.110776 1
0.2%
1068.349344 1
0.2%
ValueCountFrequency (%)
41750.88026 1
0.2%
40798.90917 1
0.2%
40389.53011 1
0.2%
40367.56812 1
0.2%
39980.15105 1
0.2%
Distinct533
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6367.629534
Minimum84.835296
Maximum27098.0169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:33.988171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum84.835296
5-th percentile898.9366616
Q12520.253102
median4813.286249
Q39578.352435
95-th percentile16467.55947
Maximum27098.0169
Range27013.18161
Interquartile range (IQR)7058.099333

Descriptive statistics

Standard deviation5140.373249
Coefficient of variation (CV)0.8072663809
Kurtosis2.893019213
Mean6367.629534
Median Absolute Deviation (MAD)2679.963615
Skewness1.559888241
Sum3712328.019
Variance26423437.14
MonotonicityNot monotonic
2023-02-02T09:26:36.129555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
518.347894 5
 
0.9%
1209.16795 5
 
0.9%
1778.701937 4
 
0.7%
4391.989494 3
 
0.5%
1394.944666 3
 
0.5%
5648.266117 3
 
0.5%
1427.886667 3
 
0.5%
3592.210686 3
 
0.5%
1966.194917 3
 
0.5%
842.206536 3
 
0.5%
Other values (523) 548
94.0%
ValueCountFrequency (%)
84.835296 1
0.2%
90.8712 2
0.3%
139.252176 1
0.2%
187.633152 1
0.2%
217.927584 1
0.2%
ValueCountFrequency (%)
27098.0169 1
0.2%
26682.54146 1
0.2%
26266.94181 1
0.2%
25965.61166 1
0.2%
25943.17463 1
0.2%
Distinct489
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4896.540298
Minimum9.144576
Maximum27930.71762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:38.127197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9.144576
5-th percentile311.623387
Q11607.726279
median3613.72777
Q36892.711
95-th percentile11560.37974
Maximum27930.71762
Range27921.57304
Interquartile range (IQR)5284.984721

Descriptive statistics

Standard deviation4541.889568
Coefficient of variation (CV)0.9275711608
Kurtosis5.797926125
Mean4896.540298
Median Absolute Deviation (MAD)2361.080748
Skewness2.059681526
Sum2854682.994
Variance20628760.85
MonotonicityNot monotonic
2023-02-02T09:26:39.559343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1252.647022 6
 
1.0%
1033.928305 5
 
0.9%
9.144576 5
 
0.9%
6041.779575 4
 
0.7%
99.930096 4
 
0.7%
721.160687 4
 
0.7%
99.930096 4
 
0.7%
1406.705563 4
 
0.7%
721.160687 4
 
0.7%
1076.239944 3
 
0.5%
Other values (479) 540
92.6%
ValueCountFrequency (%)
9.144576 5
0.9%
20.32128 3
0.5%
27.433728 2
 
0.3%
80.659152 2
 
0.3%
90.8712 1
 
0.2%
ValueCountFrequency (%)
27930.71762 1
0.2%
25360.99311 1
0.2%
25312.79994 1
0.2%
24180.45274 1
0.2%
23983.69601 1
0.2%
Distinct448
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4033.059378
Minimum0
Maximum34118.2515
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:40.981745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.385536
Q11000.630033
median2883.636988
Q35927.592908
95-th percentile10372.59818
Maximum34118.2515
Range34118.2515
Interquartile range (IQR)4926.962875

Descriptive statistics

Standard deviation4462.793128
Coefficient of variation (CV)1.106552795
Kurtosis12.57682275
Mean4033.059378
Median Absolute Deviation (MAD)2269.992458
Skewness2.850006702
Sum2351273.617
Variance19916522.5
MonotonicityNot monotonic
2023-02-02T09:26:42.028735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306.761785 12
 
2.1%
0 10
 
1.7%
1000.630033 9
 
1.5%
3.048192 9
 
1.5%
1058.569181 8
 
1.4%
613.64453 5
 
0.9%
1809.618937 4
 
0.7%
1176.610642 4
 
0.7%
1177.779293 3
 
0.5%
5396.425359 3
 
0.5%
Other values (438) 516
88.5%
ValueCountFrequency (%)
0 10
1.7%
2.032128 2
 
0.3%
3.048192 9
1.5%
9.144576 3
 
0.5%
12.192768 2
 
0.3%
ValueCountFrequency (%)
34118.2515 1
0.2%
31318.47199 1
0.2%
31279.38308 1
0.2%
30137.93162 1
0.2%
29941.17489 1
0.2%
Distinct400
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3133.501083
Minimum0
Maximum49879.68393
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:43.411641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1559.44437
median2037.64181
Q33979.243431
95-th percentile8980.44766
Maximum49879.68393
Range49879.68393
Interquartile range (IQR)3419.799061

Descriptive statistics

Standard deviation4998.360653
Coefficient of variation (CV)1.595136086
Kurtosis49.35121087
Mean3133.501083
Median Absolute Deviation (MAD)1727.831833
Skewness6.079558629
Sum1826831.132
Variance24983609.21
MonotonicityNot monotonic
2023-02-02T09:26:44.627738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
9.144576 12
 
2.1%
81.787104 8
 
1.4%
690.910607 7
 
1.2%
3248.453917 7
 
1.2%
3275.887645 7
 
1.2%
81.787104 6
 
1.0%
27.433728 6
 
1.0%
18.289152 5
 
0.9%
12.192768 5
 
0.9%
Other values (390) 488
83.7%
ValueCountFrequency (%)
0 32
5.5%
3.048192 3
 
0.5%
9.144576 12
 
2.1%
12.192768 5
 
0.9%
18.289152 5
 
0.9%
ValueCountFrequency (%)
49879.68393 1
0.2%
46886.19589 1
0.2%
46844.05878 1
0.2%
45705.65551 1
0.2%
45486.9368 1
0.2%
Distinct274
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1889.556371
Minimum0
Maximum49805.05672
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:46.100475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.144576
median322.990585
Q32163.861128
95-th percentile6937.715268
Maximum49805.05672
Range49805.05672
Interquartile range (IQR)2154.716552

Descriptive statistics

Standard deviation4774.044213
Coefficient of variation (CV)2.526542359
Kurtosis65.32931644
Mean1889.556371
Median Absolute Deviation (MAD)322.990585
Skewness7.349373386
Sum1101611.365
Variance22791498.15
MonotonicityNot monotonic
2023-02-02T09:26:47.949465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
9.144576 29
 
5.0%
150.536736 14
 
2.4%
12.192768 10
 
1.7%
309.809977 8
 
1.4%
18.289152 6
 
1.0%
81.787104 6
 
1.0%
27.433728 6
 
1.0%
178.815168 5
 
0.9%
2993.207503 4
 
0.7%
Other values (264) 386
66.2%
ValueCountFrequency (%)
0 109
18.7%
3.048192 4
 
0.7%
4.064256 2
 
0.3%
6.096384 3
 
0.5%
9.144576 29
 
5.0%
ValueCountFrequency (%)
49805.05672 1
0.2%
46614.81195 1
0.2%
46572.67484 1
0.2%
45412.30959 1
0.2%
45099.54197 1
0.2%
Distinct221
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1524.567992
Minimum0
Maximum49118.63396
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:49.276172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75.69072
Q31615.9104
95-th percentile6338.557038
Maximum49118.63396
Range49118.63396
Interquartile range (IQR)1615.9104

Descriptive statistics

Standard deviation4604.416523
Coefficient of variation (CV)3.020145082
Kurtosis72.27460869
Mean1524.567992
Median Absolute Deviation (MAD)75.69072
Skewness7.876298162
Sum888823.1393
Variance21200651.52
MonotonicityNot monotonic
2023-02-02T09:26:50.649754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
9.144576 23
 
3.9%
12.192768 18
 
3.1%
27.433728 10
 
1.7%
18.289152 10
 
1.7%
6.096384 8
 
1.4%
81.787104 7
 
1.2%
60.573744 7
 
1.2%
1689.55215 6
 
1.0%
3248.453917 6
 
1.0%
Other values (211) 295
50.6%
ValueCountFrequency (%)
0 193
33.1%
1.016064 1
 
0.2%
2.032128 2
 
0.3%
3.048192 4
 
0.7%
6.096384 8
 
1.4%
ValueCountFrequency (%)
49118.63396 1
0.2%
45731.63246 1
0.2%
45689.49535 1
0.2%
44413.11921 1
0.2%
44032.01858 1
0.2%
Distinct531
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8452.844306
Minimum2182.519211
Maximum31563.35217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:51.738870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2182.519211
5-th percentile3794.428911
Q16158.441528
median8035.409132
Q39706.841753
95-th percentile14247.33235
Maximum31563.35217
Range29380.83296
Interquartile range (IQR)3548.400225

Descriptive statistics

Standard deviation3503.887765
Coefficient of variation (CV)0.4145217442
Kurtosis6.75562931
Mean8452.844306
Median Absolute Deviation (MAD)1815.301531
Skewness1.764286985
Sum4928008.23
Variance12277229.47
MonotonicityNot monotonic
2023-02-02T09:26:53.570478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8552.749319 3
 
0.5%
8950.538259 3
 
0.5%
8619.077156 3
 
0.5%
7493.485087 3
 
0.5%
8233.343807 2
 
0.3%
13434.44584 2
 
0.3%
4911.318522 2
 
0.3%
6150.123938 2
 
0.3%
13538.12227 2
 
0.3%
8914.167341 2
 
0.3%
Other values (521) 559
95.9%
ValueCountFrequency (%)
2182.519211 1
0.2%
2226.400132 1
0.2%
2231.504436 1
0.2%
2571.034757 1
0.2%
2712.084523 2
0.3%
ValueCountFrequency (%)
31563.35217 1
0.2%
27429.20709 1
0.2%
27280.08811 1
0.2%
24365.98176 1
0.2%
23880.29737 1
0.2%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10232.51507
Minimum1835.4055
Maximum40315.44746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:54.583694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1835.4055
5-th percentile4177.780275
Q17268.264258
median9571.375562
Q311886.5848
95-th percentile17950.34069
Maximum40315.44746
Range38480.04196
Interquartile range (IQR)4618.320547

Descriptive statistics

Standard deviation4627.204583
Coefficient of variation (CV)0.4522059875
Kurtosis6.234365118
Mean10232.51507
Median Absolute Deviation (MAD)2305.17934
Skewness1.716567299
Sum5965556.288
Variance21411022.26
MonotonicityNot monotonic
2023-02-02T09:26:55.713539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10773.80781 4
 
0.7%
9190.782266 4
 
0.7%
5341.179139 3
 
0.5%
10189.15535 3
 
0.5%
4035.19887 3
 
0.5%
11209.40453 2
 
0.3%
16373.67375 2
 
0.3%
14667.13815 2
 
0.3%
4688.189005 2
 
0.3%
17279.09869 2
 
0.3%
Other values (522) 556
95.4%
ValueCountFrequency (%)
1835.4055 1
0.2%
2267.482688 1
0.2%
2299.30451 1
0.2%
2523.779299 1
0.2%
2803.954681 2
0.3%
ValueCountFrequency (%)
40315.44746 1
0.2%
34699.65688 1
0.2%
34506.87393 1
0.2%
30588.93313 1
0.2%
29935.94299 1
0.2%
Distinct559
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14209.71602
Minimum1952.643083
Maximum60855.43715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:56.899537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1952.643083
5-th percentile4937.068799
Q19605.005887
median13308.00172
Q317060.91432
95-th percentile25267.81844
Maximum60855.43715
Range58902.79406
Interquartile range (IQR)7455.908429

Descriptive statistics

Standard deviation6918.216423
Coefficient of variation (CV)0.4868652133
Kurtosis7.462265497
Mean14209.71602
Median Absolute Deviation (MAD)3729.241883
Skewness1.815958956
Sum8284264.442
Variance47861718.47
MonotonicityNot monotonic
2023-02-02T09:26:57.974346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3855.100082 2
 
0.3%
12235.58721 2
 
0.3%
22843.24547 2
 
0.3%
11413.65927 2
 
0.3%
14686.35594 2
 
0.3%
19402.80842 2
 
0.3%
9917.188434 2
 
0.3%
14095.80264 2
 
0.3%
11322.0401 2
 
0.3%
10408.49299 2
 
0.3%
Other values (549) 563
96.6%
ValueCountFrequency (%)
1952.643083 1
0.2%
2010.839911 1
0.2%
2279.594204 1
0.2%
2601.815414 1
0.2%
2684.110662 1
0.2%
ValueCountFrequency (%)
60855.43715 1
0.2%
52623.81154 1
0.2%
52540.83496 1
0.2%
47142.52887 1
0.2%
46228.98176 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14577.20028
Minimum978.113307
Maximum72109.39387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:26:59.661469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum978.113307
5-th percentile3832.118721
Q19362.74163
median13416.89913
Q318001.50051
95-th percentile27865.0376
Maximum72109.39387
Range71131.28057
Interquartile range (IQR)8638.758883

Descriptive statistics

Standard deviation8301.888551
Coefficient of variation (CV)0.5695118672
Kurtosis8.037259452
Mean14577.20028
Median Absolute Deviation (MAD)4264.507434
Skewness1.8945513
Sum8498507.763
Variance68921353.51
MonotonicityNot monotonic
2023-02-02T09:27:00.604150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2683.504287 5
 
0.9%
5053.764549 5
 
0.9%
26442.11313 4
 
0.7%
3832.118721 3
 
0.5%
3778.888923 3
 
0.5%
19074.2053 3
 
0.5%
17060.60861 3
 
0.5%
9901.997591 3
 
0.5%
10087.53112 3
 
0.5%
6956.855575 3
 
0.5%
Other values (517) 548
94.0%
ValueCountFrequency (%)
978.113307 2
0.3%
1061.424631 1
0.2%
1224.154199 1
0.2%
1337.528846 2
0.3%
1470.195091 1
0.2%
ValueCountFrequency (%)
72109.39387 1
0.2%
61166.82828 1
0.2%
61006.50009 1
0.2%
54965.71002 1
0.2%
53958.91168 1
0.2%
Distinct495
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13002.71751
Minimum279.7536999
Maximum80650.09464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:01.917044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum279.7536999
5-th percentile2088.691899
Q17162.504277
median11231.02575
Q316377.31008
95-th percentile28455.70982
Maximum80650.09464
Range80370.34094
Interquartile range (IQR)9214.805803

Descriptive statistics

Standard deviation9249.879931
Coefficient of variation (CV)0.7113805193
Kurtosis10.41308178
Mean13002.71751
Median Absolute Deviation (MAD)4442.267704
Skewness2.294577335
Sum7580584.306
Variance85560278.75
MonotonicityNot monotonic
2023-02-02T09:27:03.429375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3696.929238 8
 
1.4%
999.5986901 6
 
1.0%
4761.8908 5
 
0.9%
279.7536999 5
 
0.9%
5658.183481 4
 
0.7%
5693.953066 4
 
0.7%
17775.53321 4
 
0.7%
28455.70982 4
 
0.7%
2491.399857 3
 
0.5%
13748.33983 3
 
0.5%
Other values (485) 537
92.1%
ValueCountFrequency (%)
279.7536999 5
0.9%
477.1881863 2
 
0.3%
621.6748886 3
0.5%
839.2610996 1
 
0.2%
839.2610996 1
 
0.2%
ValueCountFrequency (%)
80650.09464 1
0.2%
67689.02137 1
0.2%
67663.53806 1
0.2%
61648.2313 1
0.2%
60641.43295 1
0.2%
Distinct452
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11054.36071
Minimum0
Maximum91982.64234
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:05.176100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile746.0098663
Q14581.794956
median8260.440777
Q313896.96217
95-th percentile30315.25167
Maximum91982.64234
Range91982.64234
Interquartile range (IQR)9315.167217

Descriptive statistics

Standard deviation10516.0292
Coefficient of variation (CV)0.9513014344
Kurtosis14.10397819
Mean11054.36071
Median Absolute Deviation (MAD)4087.764559
Skewness2.871601578
Sum6444692.293
Variance110586870.1
MonotonicityNot monotonic
2023-02-02T09:27:06.258118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2058.966163 12
 
2.1%
0 10
 
1.7%
93.25123329 9
 
1.5%
4522.477658 9
 
1.5%
3457.516096 7
 
1.2%
6031.301754 4
 
0.7%
874.9221648 4
 
0.7%
30469.30651 4
 
0.7%
6031.301754 4
 
0.7%
16529.32172 3
 
0.5%
Other values (442) 517
88.7%
ValueCountFrequency (%)
0 10
1.7%
62.16748886 2
 
0.3%
93.25123329 9
1.5%
279.7536999 3
 
0.5%
373.0049332 2
 
0.3%
ValueCountFrequency (%)
91982.64234 1
0.2%
77849.75211 1
0.2%
77775.35758 1
0.2%
71734.56751 1
0.2%
70727.76916 1
0.2%
Distinct390
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8975.302078
Minimum0
Maximum102866.7618
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:07.348878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12152.217396
median4930.570608
Q310998.68166
95-th percentile30136.13535
Maximum102866.7618
Range102866.7618
Interquartile range (IQR)8846.46426

Descriptive statistics

Standard deviation11600.34756
Coefficient of variation (CV)1.292474333
Kurtosis18.6503195
Mean8975.302078
Median Absolute Deviation (MAD)3337.174557
Skewness3.455493549
Sum5232601.112
Variance134568063.6
MonotonicityNot monotonic
2023-02-02T09:27:08.559343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
279.7536999 12
 
2.1%
1593.396051 11
 
1.9%
968.1733981 11
 
1.9%
2152.217396 8
 
1.4%
3550.76733 7
 
1.2%
2432.657151 7
 
1.2%
4284.554974 7
 
1.2%
559.5073998 5
 
0.9%
373.0049332 5
 
0.9%
Other values (380) 478
82.0%
ValueCountFrequency (%)
0 32
5.5%
93.25123329 3
 
0.5%
279.7536999 12
 
2.1%
373.0049332 5
 
0.9%
559.5073998 5
 
0.9%
ValueCountFrequency (%)
102866.7618 1
0.2%
87745.9299 1
0.2%
87727.0732 1
0.2%
81705.13983 1
0.2%
80773.07757 1
0.2%
Distinct264
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7193.556473
Minimum0
Maximum107648.4077
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:10.062047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1279.7536999
median2402.602963
Q38957.763987
95-th percentile28293.67847
Maximum107648.4077
Range107648.4077
Interquartile range (IQR)8678.010288

Descriptive statistics

Standard deviation12047.93017
Coefficient of variation (CV)1.674822491
Kurtosis21.546713
Mean7193.556473
Median Absolute Deviation (MAD)2402.602963
Skewness3.811589751
Sum4193843.424
Variance145152621.4
MonotonicityNot monotonic
2023-02-02T09:27:11.497179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
279.7536999 29
 
5.0%
2048.794752 14
 
2.4%
2152.217396 11
 
1.9%
373.0049332 10
 
1.7%
968.1733981 7
 
1.2%
2402.602963 6
 
1.0%
559.5073998 6
 
1.0%
1596.817585 5
 
0.9%
18450.12793 5
 
0.9%
Other values (254) 381
65.4%
ValueCountFrequency (%)
0 109
18.7%
86.9661749 1
 
0.2%
93.25123329 4
 
0.7%
124.3349777 2
 
0.3%
173.9323498 1
 
0.2%
ValueCountFrequency (%)
107648.4077 1
0.2%
91520.77743 1
0.2%
91501.92073 1
0.2%
85554.72344 1
0.2%
84489.76188 1
0.2%
Distinct206
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5885.097719
Minimum0
Maximum103192.4999
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:12.360676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median938.6888717
Q37561.387847
95-th percentile26709.4131
Maximum103192.4999
Range103192.4999
Interquartile range (IQR)7561.387847

Descriptive statistics

Standard deviation11573.31875
Coefficient of variation (CV)1.966546573
Kurtosis21.76420946
Mean5885.097719
Median Absolute Deviation (MAD)938.6888717
Skewness3.937887536
Sum3431011.97
Variance133941706.9
MonotonicityNot monotonic
2023-02-02T09:27:13.193132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
279.7536999 23
 
3.9%
373.0049332 18
 
3.1%
559.5073998 9
 
1.5%
186.5024666 8
 
1.4%
12409.33786 7
 
1.2%
968.1733981 7
 
1.2%
839.2610996 6
 
1.0%
26709.4131 6
 
1.0%
1593.396051 6
 
1.0%
Other values (196) 300
51.5%
ValueCountFrequency (%)
0 193
33.1%
31.08374443 1
 
0.2%
62.16748886 2
 
0.3%
93.25123329 4
 
0.7%
186.5024666 8
 
1.4%
ValueCountFrequency (%)
103192.4999 1
0.2%
86058.07133 1
0.2%
86039.21462 1
0.2%
80033.85412 1
0.2%
78635.30418 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.0940426
Minimum97.654045
Maximum1272.605297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:14.108551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum97.654045
5-th percentile169.488196
Q1273.4407705
median353.066489
Q3434.117842
95-th percentile630.5798814
Maximum1272.605297
Range1174.951252
Interquartile range (IQR)160.6770715

Descriptive statistics

Standard deviation149.7690641
Coefficient of variation (CV)0.4046783975
Kurtosis3.903789142
Mean370.0940426
Median Absolute Deviation (MAD)80.018444
Skewness1.35313193
Sum215764.8268
Variance22430.77256
MonotonicityNot monotonic
2023-02-02T09:27:15.027697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
418.049718 4
 
0.7%
355.117386 3
 
0.5%
396.987062 3
 
0.5%
376.009618 3
 
0.5%
397.072274 3
 
0.5%
590.68825 2
 
0.3%
297.441733 2
 
0.3%
563.281341 2
 
0.3%
341.714077 2
 
0.3%
352.704146 2
 
0.3%
Other values (518) 557
95.5%
ValueCountFrequency (%)
97.654045 1
0.2%
107.956545 1
0.2%
109.670209 1
0.2%
119.992792 1
0.2%
128.933989 1
0.2%
ValueCountFrequency (%)
1272.605297 1
0.2%
1060.417617 1
0.2%
1051.038033 1
0.2%
934.552953 1
0.2%
913.575509 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.9780836
Minimum76.643136
Maximum1193.098556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:15.916822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum76.643136
5-th percentile155.5808432
Q1249.870496
median322.268664
Q3395.888502
95-th percentile608.4284092
Maximum1193.098556
Range1116.45542
Interquartile range (IQR)146.018006

Descriptive statistics

Standard deviation145.0693359
Coefficient of variation (CV)0.4217400551
Kurtosis3.591694546
Mean343.9780836
Median Absolute Deviation (MAD)73.133168
Skewness1.405558041
Sum200539.2227
Variance21045.11222
MonotonicityNot monotonic
2023-02-02T09:27:16.773245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
373.626052 4
 
0.7%
338.25228 4
 
0.7%
333.80356 3
 
0.5%
145.999328 3
 
0.5%
102.378776 2
 
0.3%
487.260248 2
 
0.3%
241.261664 2
 
0.3%
237.328716 2
 
0.3%
265.77338 2
 
0.3%
301.219524 2
 
0.3%
Other values (517) 557
95.5%
ValueCountFrequency (%)
76.643136 1
0.2%
102.378776 2
0.3%
103.921344 1
0.2%
111.655764 1
0.2%
111.748572 1
0.2%
ValueCountFrequency (%)
1193.098556 1
0.2%
979.069824 1
0.2%
968.261568 1
0.2%
874.468992 1
0.2%
867.010856 1
0.2%
Distinct562
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean670.5850964
Minimum107.772992
Maximum2338.017588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:17.749935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum107.772992
5-th percentile260.4881416
Q1489.598933
median635.242392
Q3799.558758
95-th percentile1200.118318
Maximum2338.017588
Range2230.244596
Interquartile range (IQR)309.959825

Descriptive statistics

Standard deviation295.2796699
Coefficient of variation (CV)0.4403313934
Kurtosis2.855580656
Mean670.5850964
Median Absolute Deviation (MAD)156.983372
Skewness1.209895146
Sum390951.1112
Variance87190.08346
MonotonicityNot monotonic
2023-02-02T09:27:18.699590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171.600636 2
 
0.3%
597.05692 2
 
0.3%
1122.806476 2
 
0.3%
680.414288 2
 
0.3%
947.33232 2
 
0.3%
545.84066 2
 
0.3%
663.137056 2
 
0.3%
537.375558 2
 
0.3%
652.643904 2
 
0.3%
823.609368 2
 
0.3%
Other values (552) 563
96.6%
ValueCountFrequency (%)
107.772992 1
0.2%
147.82814 1
0.2%
161.592776 1
0.2%
169.353872 1
0.2%
171.600636 2
0.3%
ValueCountFrequency (%)
2338.017588 1
0.2%
1895.694392 1
0.2%
1866.648916 1
0.2%
1728.688801 1
0.2%
1707.150921 1
0.2%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798.7784867
Minimum118.924344
Maximum2888.81358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:19.462180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum118.924344
5-th percentile240.681826
Q1518.990594
median736.442544
Q31003.642286
95-th percentile1591.21794
Maximum2888.81358
Range2769.889236
Interquartile range (IQR)484.651692

Descriptive statistics

Standard deviation420.6730259
Coefficient of variation (CV)0.5266454129
Kurtosis1.737570323
Mean798.7784867
Median Absolute Deviation (MAD)238.116076
Skewness1.096329581
Sum465687.8577
Variance176965.7947
MonotonicityNot monotonic
2023-02-02T09:27:20.253998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264.244376 5
 
0.9%
1591.21794 4
 
0.7%
1144.701968 4
 
0.7%
1148.84636 3
 
0.5%
1018.932168 3
 
0.5%
353.747908 3
 
0.5%
230.485168 3
 
0.5%
173.987784 3
 
0.5%
240.380048 3
 
0.5%
1132.95714 2
 
0.3%
Other values (522) 550
94.3%
ValueCountFrequency (%)
118.924344 2
0.3%
123.32736 1
0.2%
126.811008 2
0.3%
128.117376 1
0.2%
155.224512 1
0.2%
ValueCountFrequency (%)
2888.81358 1
0.2%
2342.919596 1
0.2%
2342.236668 1
0.2%
2321.381716 1
0.2%
2261.41396 1
0.2%
Distinct490
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean802.3800279
Minimum59.600448
Maximum3597.6993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:21.380889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum59.600448
5-th percentile186.567524
Q1485.255228
median721.254216
Q31009.764419
95-th percentile1716.815834
Maximum3597.6993
Range3538.098852
Interquartile range (IQR)524.509191

Descriptive statistics

Standard deviation475.1531232
Coefficient of variation (CV)0.5921796489
Kurtosis3.14594029
Mean802.3800279
Median Absolute Deviation (MAD)253.622964
Skewness1.351581026
Sum467787.5562
Variance225770.4904
MonotonicityNot monotonic
2023-02-02T09:27:22.532338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.773248 8
 
1.4%
252.632044 8
 
1.4%
60.466176 5
 
0.9%
318.62514 4
 
0.7%
381.579032 4
 
0.7%
1716.98774 4
 
0.7%
345.243772 4
 
0.7%
1136.197832 4
 
0.7%
178.347528 3
 
0.5%
208.213156 3
 
0.5%
Other values (480) 536
91.9%
ValueCountFrequency (%)
59.600448 2
 
0.3%
60.466176 5
0.9%
113.773248 8
1.4%
126.811008 3
 
0.5%
134.36928 3
 
0.5%
ValueCountFrequency (%)
3597.6993 1
0.2%
2773.807312 1
0.2%
2733.940752 1
0.2%
2463.16902 1
0.2%
2396.497912 1
0.2%
Distinct453
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717.4531856
Minimum0
Maximum3509.760156
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:23.426718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83.016576
Q1346.669287
median595.914996
Q3942.955791
95-th percentile1768.510284
Maximum3509.760156
Range3509.760156
Interquartile range (IQR)596.286504

Descriptive statistics

Standard deviation521.1453876
Coefficient of variation (CV)0.7263824289
Kurtosis2.166012579
Mean717.4531856
Median Absolute Deviation (MAD)286.608484
Skewness1.284235013
Sum418275.2072
Variance271592.515
MonotonicityNot monotonic
2023-02-02T09:27:24.139020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170.338852 12
 
2.1%
0 10
 
1.7%
20.155392 9
 
1.5%
280.750836 8
 
1.4%
214.75774 7
 
1.2%
1035.438628 5
 
0.9%
1842.75754 4
 
0.7%
1708.55022 4
 
0.7%
480.747956 4
 
0.7%
414.331976 4
 
0.7%
Other values (443) 516
88.5%
ValueCountFrequency (%)
0 10
1.7%
13.436928 2
 
0.3%
20.155392 9
1.5%
60.466176 3
 
0.5%
62.861184 1
 
0.2%
ValueCountFrequency (%)
3509.760156 1
0.2%
2585.108964 1
0.2%
2581.157156 1
0.2%
2524.24784 1
0.2%
2512.95356 1
0.2%
Distinct385
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598.2295333
Minimum0
Maximum4636.420812
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:25.038490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1206.343936
median397.355428
Q3756.973686
95-th percentile1797.826872
Maximum4636.420812
Range4636.420812
Interquartile range (IQR)550.62975

Descriptive statistics

Standard deviation601.3801575
Coefficient of variation (CV)1.005266581
Kurtosis6.761438852
Mean598.2295333
Median Absolute Deviation (MAD)233.717284
Skewness2.149994908
Sum348767.8179
Variance361658.0938
MonotonicityNot monotonic
2023-02-02T09:27:25.618141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
103.171968 14
 
2.4%
60.466176 12
 
2.1%
144 11
 
1.9%
234.913132 10
 
1.7%
190.494244 8
 
1.4%
325.398528 6
 
1.0%
181.398528 6
 
1.0%
333.710408 5
 
0.9%
120.932352 5
 
0.9%
Other values (375) 474
81.3%
ValueCountFrequency (%)
0 32
5.5%
20.155392 3
 
0.5%
60.466176 12
 
2.1%
76.43242 1
 
0.2%
78.713252 3
 
0.5%
ValueCountFrequency (%)
4636.420812 1
0.2%
3669.040112 1
0.2%
3644.932912 1
0.2%
3291.730712 1
0.2%
3228.77682 1
0.2%
Distinct266
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477.0744861
Minimum0
Maximum4516.456044
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:26.206950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160.466176
median249.09716
Q3584.560098
95-th percentile1765.472352
Maximum4516.456044
Range4516.456044
Interquartile range (IQR)524.093922

Descriptive statistics

Standard deviation636.513605
Coefficient of variation (CV)1.334201731
Kurtosis5.696928998
Mean477.0744861
Median Absolute Deviation (MAD)216.42556
Skewness2.174448979
Sum278134.4254
Variance405149.5693
MonotonicityNot monotonic
2023-02-02T09:27:26.783614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
60.466176 29
 
5.0%
103.171968 11
 
1.9%
190.494244 11
 
1.9%
266.011776 9
 
1.5%
80.621568 8
 
1.4%
181.398528 6
 
1.0%
120.932352 6
 
1.0%
1708.55022 5
 
0.9%
231.963264 5
 
0.9%
Other values (256) 384
65.9%
ValueCountFrequency (%)
0 109
18.7%
8.278848 1
 
0.2%
16.557696 1
 
0.2%
20.155392 4
 
0.7%
24.836544 3
 
0.5%
ValueCountFrequency (%)
4516.456044 1
0.2%
3486.190444 1
0.2%
3462.083244 1
0.2%
3108.812052 1
0.2%
3042.818956 1
0.2%
Distinct199
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.0695525
Minimum0
Maximum5522.492388
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:27.380761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120.932352
Q3494.158886
95-th percentile1859.620685
Maximum5522.492388
Range5522.492388
Interquartile range (IQR)494.158886

Descriptive statistics

Standard deviation683.3882834
Coefficient of variation (CV)1.687088746
Kurtosis12.31747812
Mean405.0695525
Median Absolute Deviation (MAD)120.932352
Skewness2.998017443
Sum236155.5491
Variance467019.5459
MonotonicityNot monotonic
2023-02-02T09:27:28.071369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
60.466176 23
 
3.9%
80.621568 12
 
2.1%
103.171968 11
 
1.9%
181.398528 10
 
1.7%
120.932352 10
 
1.7%
40.310784 8
 
1.4%
109.035072 7
 
1.2%
1117.27356 7
 
1.2%
1373.650608 6
 
1.0%
Other values (189) 296
50.8%
ValueCountFrequency (%)
0 193
33.1%
6.718464 1
 
0.2%
13.436928 2
 
0.3%
20.155392 4
 
0.7%
24.836544 1
 
0.2%
ValueCountFrequency (%)
5522.492388 1
0.2%
4429.341888 1
0.2%
4405.234688 1
0.2%
4048.8553 1
0.2%
4004.436412 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.24754
Minimum80.0994
Maximum1083.6553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:29.098115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum80.0994
5-th percentile136.93539
Q1222.4654
median293.9528
Q3363.0258
95-th percentile509.99633
Maximum1083.6553
Range1003.5559
Interquartile range (IQR)140.5604

Descriptive statistics

Standard deviation124.93514
Coefficient of variation (CV)0.4079547545
Kurtosis4.688482102
Mean306.24754
Median Absolute Deviation (MAD)70.8698
Skewness1.409258335
Sum178542.3158
Variance15608.7892
MonotonicityNot monotonic
2023-02-02T09:27:30.041999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352.1803 4
 
0.7%
303.6328 3
 
0.5%
321.0394 3
 
0.5%
338.1514 3
 
0.5%
335.9978 3
 
0.5%
286.8053 2
 
0.3%
200.6087 2
 
0.3%
211.8826 2
 
0.3%
441.4413 2
 
0.3%
273.2613 2
 
0.3%
Other values (518) 557
95.5%
ValueCountFrequency (%)
80.0994 1
0.2%
87.1348 1
0.2%
88.3588 1
0.2%
95.9763 1
0.2%
103.3173 1
0.2%
ValueCountFrequency (%)
1083.6553 1
0.2%
923.0544 1
0.2%
915.4753 1
0.2%
825.9594 1
0.2%
809.7769 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.4729647
Minimum63.9625
Maximum1010.2845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:31.017805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum63.9625
5-th percentile132.22016
Q1207.9498
median269.0301
Q3332.9094
95-th percentile502.55631
Maximum1010.2845
Range946.322
Interquartile range (IQR)124.9596

Descriptive statistics

Standard deviation120.2625081
Coefficient of variation (CV)0.4198040405
Kurtosis4.013568281
Mean286.4729647
Median Absolute Deviation (MAD)62.1153
Skewness1.439553898
Sum167013.7384
Variance14463.07084
MonotonicityNot monotonic
2023-02-02T09:27:31.788217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
275.553 4
 
0.7%
312.1797 4
 
0.7%
294.4572 3
 
0.5%
121.227 3
 
0.5%
156.672 3
 
0.5%
464.4351 2
 
0.3%
202.6011 2
 
0.3%
199.8912 2
 
0.3%
219.4173 2
 
0.3%
254.8302 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
63.9625 1
0.2%
85.5225 1
0.2%
85.6105 2
0.3%
93.7413 1
0.2%
95.0168 1
0.2%
ValueCountFrequency (%)
1010.2845 1
0.2%
838.236 1
0.2%
828.8775 1
0.2%
731.901 1
0.2%
719.7972 1
0.2%
Distinct564
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean557.3270575
Minimum88.2356
Maximum1986.4146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:32.569863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum88.2356
5-th percentile213.39489
Q1397.56125
median528.7118
Q3666.21875
95-th percentile987.69804
Maximum1986.4146
Range1898.179
Interquartile range (IQR)268.6575

Descriptive statistics

Standard deviation244.9618928
Coefficient of variation (CV)0.4395298766
Kurtosis3.245355963
Mean557.3270575
Median Absolute Deviation (MAD)134.3053
Skewness1.213093967
Sum324921.6745
Variance60006.32892
MonotonicityNot monotonic
2023-02-02T09:27:33.457938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.1416 2
 
0.3%
433.3599 2
 
0.3%
887.4695 2
 
0.3%
422.1562 2
 
0.3%
542.6796 2
 
0.3%
772.852 2
 
0.3%
486.4276 2
 
0.3%
547.6928 2
 
0.3%
650.894 2
 
0.3%
204.8546 2
 
0.3%
Other values (554) 563
96.6%
ValueCountFrequency (%)
88.2356 1
0.2%
123.7364 1
0.2%
126.8576 1
0.2%
135.3888 1
0.2%
140.1416 2
0.3%
ValueCountFrequency (%)
1986.4146 1
0.2%
1641.7962 1
0.2%
1618.2546 1
0.2%
1439.1012 1
0.2%
1405.3187 1
0.2%
Distinct537
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean647.5653204
Minimum91.74
Maximum2354.466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:34.409250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum91.74
5-th percentile188.3278
Q1415.52
median595.4277
Q3812.22555
95-th percentile1279.217
Maximum2354.466
Range2262.726
Interquartile range (IQR)396.70555

Descriptive statistics

Standard deviation338.9698085
Coefficient of variation (CV)0.5234526893
Kurtosis1.593886722
Mean647.5653204
Median Absolute Deviation (MAD)200.7643
Skewness1.026325831
Sum377530.5818
Variance114900.5311
MonotonicityNot monotonic
2023-02-02T09:27:35.095025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136.2885 5
 
0.9%
209.814 5
 
0.9%
1230.9145 4
 
0.7%
281.8485 4
 
0.7%
185.2937 3
 
0.5%
886.2205 3
 
0.5%
306.5905 3
 
0.5%
187.9475 3
 
0.5%
436.2121 2
 
0.3%
301.986 2
 
0.3%
Other values (527) 549
94.2%
ValueCountFrequency (%)
91.74 1
0.2%
94.9452 2
0.3%
94.974 1
0.2%
94.974 1
0.2%
100.98 1
0.2%
ValueCountFrequency (%)
2354.466 1
0.2%
1854.5804 1
0.2%
1830.9504 1
0.2%
1820.2125 1
0.2%
1817.5455 1
0.2%
Distinct494
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean634.5975508
Minimum43.56
Maximum2934.438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:36.128123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum43.56
5-th percentile140.38305
Q1386.2924
median570.2953
Q3788.891
95-th percentile1333.48524
Maximum2934.438
Range2890.878
Interquartile range (IQR)402.5986

Descriptive statistics

Standard deviation378.6344777
Coefficient of variation (CV)0.5966529137
Kurtosis3.587087629
Mean634.5975508
Median Absolute Deviation (MAD)204.0427
Skewness1.390831763
Sum369970.3721
Variance143364.0677
MonotonicityNot monotonic
2023-02-02T09:27:36.935843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196.427 6
 
1.0%
86.064 5
 
0.9%
295.79 5
 
0.9%
247.316 4
 
0.7%
1327.5195 4
 
0.7%
271.048 4
 
0.7%
489 3
 
0.5%
1076.6445 3
 
0.5%
193.7745 3
 
0.5%
482.5105 3
 
0.5%
Other values (484) 543
93.1%
ValueCountFrequency (%)
43.56 3
0.5%
43.56 2
 
0.3%
46.64 2
 
0.3%
86.064 3
0.5%
86.064 5
0.9%
ValueCountFrequency (%)
2934.438 1
0.2%
2302.264 1
0.2%
2271.7325 1
0.2%
2012.449 1
0.2%
1964.1465 1
0.2%
Distinct462
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean567.7808031
Minimum0
Maximum2874.7188
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:37.707298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62.7
Q1277.2725
median473.7633
Q3752.3717
95-th percentile1374.91248
Maximum2874.7188
Range2874.7188
Interquartile range (IQR)475.0992

Descriptive statistics

Standard deviation412.7426759
Coefficient of variation (CV)0.7269401743
Kurtosis2.517055491
Mean567.7808031
Median Absolute Deviation (MAD)222.6868
Skewness1.317397864
Sum331016.2082
Variance170356.5165
MonotonicityNot monotonic
2023-02-02T09:27:38.471951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.2965 12
 
2.1%
0 10
 
1.7%
14.52 9
 
1.5%
218.342 8
 
1.4%
167.453 6
 
1.0%
363.9865 5
 
0.9%
62.7 4
 
0.7%
1314.384 4
 
0.7%
1424.1245 4
 
0.7%
191.8556 3
 
0.5%
Other values (452) 518
88.9%
ValueCountFrequency (%)
0 10
1.7%
9.68 2
 
0.3%
14.52 9
1.5%
43.56 3
 
0.5%
48.18 1
 
0.2%
ValueCountFrequency (%)
2874.7188 1
0.2%
2165.2683 1
0.2%
2161.0928 1
0.2%
1987.4304 1
0.2%
1963.8004 1
0.2%
Distinct386
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.2078957
Minimum0
Maximum3902.5104
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:39.304781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1163.817
median325.463
Q3607.75725
95-th percentile1421.0946
Maximum3902.5104
Range3902.5104
Interquartile range (IQR)443.94025

Descriptive statistics

Standard deviation481.0312554
Coefficient of variation (CV)1.016532606
Kurtosis9.080281639
Mean473.2078957
Median Absolute Deviation (MAD)184.396
Skewness2.396421576
Sum275880.2032
Variance231391.0686
MonotonicityNot monotonic
2023-02-02T09:27:40.166596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
77.22 12
 
2.1%
142.5636 11
 
1.9%
43.56 10
 
1.7%
181.973 8
 
1.4%
144.8165 8
 
1.4%
273.2436 7
 
1.2%
130.68 5
 
0.9%
196.46 5
 
0.9%
254.125 5
 
0.9%
Other values (376) 480
82.3%
ValueCountFrequency (%)
0 32
5.5%
14.52 3
 
0.5%
43.56 2
 
0.3%
43.56 10
 
1.7%
58.08 3
 
0.5%
ValueCountFrequency (%)
3902.5104 1
0.2%
3159.2774 1
0.2%
3140.5819 1
0.2%
2869.4624 1
0.2%
2820.9884 1
0.2%
Distinct271
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.1487626
Minimum0
Maximum3782.58
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:40.962037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.56
median188.345
Q3459.66025
95-th percentile1361.22
Maximum3782.58
Range3782.58
Interquartile range (IQR)416.10025

Descriptive statistics

Standard deviation503.1569311
Coefficient of variation (CV)1.359337061
Kurtosis7.56398169
Mean370.1487626
Median Absolute Deviation (MAD)168.281
Skewness2.381514539
Sum215796.7286
Variance253166.8973
MonotonicityNot monotonic
2023-02-02T09:27:41.716048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
43.56 22
 
3.8%
196.46 14
 
2.4%
144.8165 11
 
1.9%
77.22 10
 
1.7%
58.08 8
 
1.4%
1130.07 7
 
1.2%
130.68 6
 
1.0%
227.04 6
 
1.0%
1314.384 6
 
1.0%
Other values (261) 384
65.9%
ValueCountFrequency (%)
0 109
18.7%
6.688 1
 
0.2%
13.376 1
 
0.2%
14.52 4
 
0.7%
19.36 2
 
0.3%
ValueCountFrequency (%)
3782.58 1
0.2%
2991.0445 1
0.2%
2972.349 1
0.2%
2701.058 1
0.2%
2650.169 1
0.2%
Distinct206
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.8434216
Minimum0
Maximum4638.639
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:42.544027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87.12
Q3390.96675
95-th percentile1410.9473
Maximum4638.639
Range4638.639
Interquartile range (IQR)390.96675

Descriptive statistics

Standard deviation546.1203557
Coefficient of variation (CV)1.734577629
Kurtosis15.99974055
Mean314.8434216
Median Absolute Deviation (MAD)87.12
Skewness3.349795516
Sum183553.7148
Variance298247.4429
MonotonicityNot monotonic
2023-02-02T09:27:43.272811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
43.56 15
 
2.6%
58.08 12
 
2.1%
77.22 10
 
1.7%
130.68 10
 
1.7%
29.04 8
 
1.4%
43.56 8
 
1.4%
1314.384 7
 
1.2%
58.08 6
 
1.0%
142.5636 6
 
1.0%
Other values (196) 308
52.8%
ValueCountFrequency (%)
0 193
33.1%
4.84 1
 
0.2%
9.68 2
 
0.3%
14.52 4
 
0.7%
20.064 1
 
0.2%
ValueCountFrequency (%)
4638.639 1
0.2%
3798.801 1
0.2%
3780.1055 1
0.2%
3506.228 1
0.2%
3469.0715 1
0.2%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.2710156
Minimum78.6338
Maximum1092.595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:44.023782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum78.6338
5-th percentile136.54861
Q1220.9736
median294.5585
Q3366.3338
95-th percentile515.35156
Maximum1092.595
Range1013.9612
Interquartile range (IQR)145.3602

Descriptive statistics

Standard deviation126.1059682
Coefficient of variation (CV)0.4104063246
Kurtosis4.755499202
Mean307.2710156
Median Absolute Deviation (MAD)72.8165
Skewness1.404997252
Sum179139.0021
Variance15902.71521
MonotonicityNot monotonic
2023-02-02T09:27:45.089902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342.487 3
 
0.5%
308.057 3
 
0.5%
326.557 3
 
0.5%
339.917 3
 
0.5%
355.847 3
 
0.5%
204.3462 2
 
0.3%
241.4583 2
 
0.3%
403.8899 2
 
0.3%
243.435 2
 
0.3%
301.197 2
 
0.3%
Other values (522) 558
95.7%
ValueCountFrequency (%)
78.6338 1
0.2%
85.2374 1
0.2%
85.7387 1
0.2%
96.2349 1
0.2%
101.1674 1
0.2%
ValueCountFrequency (%)
1092.595 1
0.2%
934.4499 1
0.2%
926.435 1
0.2%
838.8699 1
0.2%
822.9399 1
0.2%
Distinct523
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.669034
Minimum63.633
Maximum991.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:46.262599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum63.633
5-th percentile131.72471
Q1204.226
median264.525
Q3325.4708
95-th percentile491.4595
Maximum991.05
Range927.417
Interquartile range (IQR)121.2448

Descriptive statistics

Standard deviation117.4215989
Coefficient of variation (CV)0.4183632132
Kurtosis4.091534838
Mean280.669034
Median Absolute Deviation (MAD)60.3666
Skewness1.446670346
Sum163630.0468
Variance13787.83189
MonotonicityNot monotonic
2023-02-02T09:27:46.992496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269.2 4
 
0.7%
305.7916 4
 
0.7%
153.55 3
 
0.5%
276.3916 3
 
0.5%
119.05 3
 
0.5%
288.5416 3
 
0.5%
328.1416 2
 
0.3%
307.726 2
 
0.3%
310.8916 2
 
0.3%
223.495 2
 
0.3%
Other values (513) 555
95.2%
ValueCountFrequency (%)
63.633 1
0.2%
84.379 2
0.3%
84.687 1
0.2%
93.922 1
0.2%
94.822 1
0.2%
ValueCountFrequency (%)
991.05 1
0.2%
823.65 1
0.2%
813.875 1
0.2%
720.15 1
0.2%
702.9 1
0.2%
Distinct565
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean556.119283
Minimum88.113
Maximum1981.171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:47.676085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum88.113
5-th percentile213.07411
Q1393.3845
median527.9076
Q3666.02385
95-th percentile973.623
Maximum1981.171
Range1893.058
Interquartile range (IQR)272.63935

Descriptive statistics

Standard deviation243.6456456
Coefficient of variation (CV)0.4381175999
Kurtosis3.265890811
Mean556.119283
Median Absolute Deviation (MAD)136.6847
Skewness1.200080911
Sum324217.542
Variance59363.2006
MonotonicityNot monotonic
2023-02-02T09:27:48.559791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.0729 2
 
0.3%
203.1159 2
 
0.3%
508.212 2
 
0.3%
574.392 2
 
0.3%
877.416 2
 
0.3%
346.5579 2
 
0.3%
640.41 2
 
0.3%
429.0819 2
 
0.3%
545.0979 2
 
0.3%
498.1009 2
 
0.3%
Other values (555) 563
96.6%
ValueCountFrequency (%)
88.113 1
0.2%
124.863 1
0.2%
126.713 1
0.2%
135.813 1
0.2%
139.0729 2
0.3%
ValueCountFrequency (%)
1981.171 1
0.2%
1643.1559 1
0.2%
1618.441 1
0.2%
1444.6159 1
0.2%
1411.5259 1
0.2%
Distinct534
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645.064277
Minimum91.08
Maximum2322.725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:49.905042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum91.08
5-th percentile186.5934
Q1410.209
median593.818
Q3812.124
95-th percentile1262.8989
Maximum2322.725
Range2231.645
Interquartile range (IQR)401.915

Descriptive statistics

Standard deviation337.4861354
Coefficient of variation (CV)0.5231821812
Kurtosis1.476682953
Mean645.064277
Median Absolute Deviation (MAD)198.808
Skewness0.9989770474
Sum376072.4735
Variance113896.8916
MonotonicityNot monotonic
2023-02-02T09:27:50.636412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134.727 5
 
0.9%
1214.262 4
 
0.7%
278.034 4
 
0.7%
184.692 3
 
0.5%
254.781 3
 
0.5%
207 3
 
0.5%
466.039 3
 
0.5%
302.391 3
 
0.5%
431.114 3
 
0.5%
186.189 3
 
0.5%
Other values (524) 549
94.2%
ValueCountFrequency (%)
91.08 1
0.2%
94.842 1
0.2%
94.842 1
0.2%
95.85 2
0.3%
99 1
0.2%
ValueCountFrequency (%)
2322.725 1
0.2%
1841.614 1
0.2%
1813.738 1
0.2%
1795.847 1
0.2%
1793.192 1
0.2%
Distinct502
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.4661262
Minimum43.56
Maximum2913.609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:51.371169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum43.56
5-th percentile139.563
Q1382.44
median570.341
Q3789.071
95-th percentile1330.3869
Maximum2913.609
Range2870.049
Interquartile range (IQR)406.631

Descriptive statistics

Standard deviation375.7532284
Coefficient of variation (CV)0.5959927311
Kurtosis3.57945872
Mean630.4661262
Median Absolute Deviation (MAD)202.118
Skewness1.385736387
Sum367561.7516
Variance141190.4887
MonotonicityNot monotonic
2023-02-02T09:27:52.762285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194.525 8
 
1.4%
85.822 5
 
0.9%
245.327 4
 
0.7%
1309.482 4
 
0.7%
268.751 4
 
0.7%
1063.422 3
 
0.5%
194.985 3
 
0.5%
477.112 3
 
0.5%
1297.269 3
 
0.5%
1092.467 3
 
0.5%
Other values (492) 543
93.1%
ValueCountFrequency (%)
43.56 3
0.5%
43.56 2
 
0.3%
47.234 2
 
0.3%
85.822 5
0.9%
85.822 3
0.5%
ValueCountFrequency (%)
2913.609 1
0.2%
2290.328 1
0.2%
2259.027 1
0.2%
2004.668 1
0.2%
1957.058 1
0.2%
Distinct455
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean565.6052094
Minimum0
Maximum2837.741
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:54.019779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62.04
Q1275.796
median479.428
Q3745.8905
95-th percentile1357.092
Maximum2837.741
Range2837.741
Interquartile range (IQR)470.0945

Descriptive statistics

Standard deviation408.6277202
Coefficient of variation (CV)0.7224610264
Kurtosis2.429179624
Mean565.6052094
Median Absolute Deviation (MAD)224.012
Skewness1.29216307
Sum329747.8371
Variance166976.6137
MonotonicityNot monotonic
2023-02-02T09:27:55.085278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.252 12
 
2.1%
0 10
 
1.7%
14.52 9
 
1.5%
360.612 7
 
1.2%
165.243 7
 
1.2%
216.045 6
 
1.0%
1404.702 4
 
0.7%
62.04 4
 
0.7%
189.6759 4
 
0.7%
1297.269 4
 
0.7%
Other values (445) 516
88.5%
ValueCountFrequency (%)
0 10
1.7%
9.68 2
 
0.3%
14.52 9
1.5%
43.56 3
 
0.5%
47.52 1
 
0.2%
ValueCountFrequency (%)
2837.741 1
0.2%
2137.568 1
0.2%
2132.975 1
0.2%
1971.672 1
0.2%
1943.796 1
0.2%
Distinct388
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.5683372
Minimum0
Maximum3903.069
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:56.080200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1162.113
median322.89
Q3607.023
95-th percentile1412.478
Maximum3903.069
Range3903.069
Interquartile range (IQR)444.91

Descriptive statistics

Standard deviation477.2906231
Coefficient of variation (CV)1.012134584
Kurtosis9.460922721
Mean471.5683372
Median Absolute Deviation (MAD)182.295
Skewness2.429440461
Sum274924.3406
Variance227806.3389
MonotonicityNot monotonic
2023-02-02T09:27:56.893180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
76.56 13
 
2.2%
151.29 11
 
1.9%
43.56 10
 
1.7%
250.98 9
 
1.5%
143.772 8
 
1.4%
179.763 8
 
1.4%
281.97 7
 
1.2%
195.36 5
 
0.9%
130.68 5
 
0.9%
Other values (378) 475
81.5%
ValueCountFrequency (%)
0 32
5.5%
14.52 3
 
0.5%
43.56 2
 
0.3%
43.56 10
 
1.7%
58.08 3
 
0.5%
ValueCountFrequency (%)
3903.069 1
0.2%
3169.806 1
0.2%
3150.693 1
0.2%
2884.146 1
0.2%
2836.365 1
0.2%
Distinct266
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.6383132
Minimum0
Maximum3751.269
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:57.760781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.56
median186.3
Q3459.882
95-th percentile1340.64
Maximum3751.269
Range3751.269
Interquartile range (IQR)416.322

Descriptive statistics

Standard deviation497.2847062
Coefficient of variation (CV)1.356335899
Kurtosis7.66692219
Mean366.6383132
Median Absolute Deviation (MAD)166.94
Skewness2.389111673
Sum213750.1366
Variance247292.079
MonotonicityNot monotonic
2023-02-02T09:27:58.671964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
43.56 22
 
3.8%
195.36 14
 
2.4%
143.772 11
 
1.9%
58.08 8
 
1.4%
76.56 8
 
1.4%
1117.8 7
 
1.2%
43.56 6
 
1.0%
1297.269 6
 
1.0%
225.72 6
 
1.0%
Other values (256) 386
66.2%
ValueCountFrequency (%)
0 109
18.7%
6.754 1
 
0.2%
13.508 1
 
0.2%
14.52 4
 
0.7%
19.36 2
 
0.3%
ValueCountFrequency (%)
3751.269 1
0.2%
2970.396 1
0.2%
2951.283 1
0.2%
2684.565 1
0.2%
2633.763 1
0.2%
Distinct209
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.3350738
Minimum0
Maximum4657.809
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:27:59.869599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87.12
Q3387.465
95-th percentile1394.4624
Maximum4657.809
Range4657.809
Interquartile range (IQR)387.465

Descriptive statistics

Standard deviation543.3223515
Coefficient of variation (CV)1.739549597
Kurtosis16.79338289
Mean312.3350738
Median Absolute Deviation (MAD)87.12
Skewness3.420796435
Sum182091.348
Variance295199.1777
MonotonicityNot monotonic
2023-02-02T09:28:00.671113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
43.56 15
 
2.6%
58.08 12
 
2.1%
130.68 10
 
1.7%
29.04 8
 
1.4%
43.56 8
 
1.4%
76.56 7
 
1.2%
1297.269 7
 
1.2%
832.14 6
 
1.0%
151.29 6
 
1.0%
Other values (199) 311
53.3%
ValueCountFrequency (%)
0 193
33.1%
4.84 1
 
0.2%
9.68 2
 
0.3%
14.52 4
 
0.7%
20.262 1
 
0.2%
ValueCountFrequency (%)
4657.809 1
0.2%
3829.326 1
0.2%
3810.213 1
0.2%
3540.303 1
0.2%
3504.312 1
0.2%
Distinct536
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.71907871
Minimum13.43688452
Maximum206.1486277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:01.453860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.43688452
5-th percentile27.18874106
Q144.95526693
median56.89712172
Q372.57857434
95-th percentile112.4981172
Maximum206.1486277
Range192.7117432
Interquartile range (IQR)27.62330741

Descriptive statistics

Standard deviation26.52661905
Coefficient of variation (CV)0.4297960955
Kurtosis2.989035632
Mean61.71907871
Median Absolute Deviation (MAD)13.57975929
Skewness1.349179336
Sum35982.22289
Variance703.661518
MonotonicityNot monotonic
2023-02-02T09:28:02.224757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.13369391 3
 
0.5%
53.09931648 3
 
0.5%
56.53142048 3
 
0.5%
115.3390227 2
 
0.3%
60.17215581 2
 
0.3%
36.15279357 2
 
0.3%
88.03245857 2
 
0.3%
59.44250357 2
 
0.3%
102.7449618 2
 
0.3%
51.59432081 2
 
0.3%
Other values (526) 560
96.1%
ValueCountFrequency (%)
13.43688452 1
0.2%
13.48431524 1
0.2%
14.86462414 1
0.2%
15.04967252 1
0.2%
17.16244105 1
0.2%
ValueCountFrequency (%)
206.1486277 1
0.2%
173.166718 1
0.2%
172.0324309 1
0.2%
160.6974875 1
0.2%
152.1202808 1
0.2%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.34155161
Minimum11.53338121
Maximum271.2185845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:03.424955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.53338121
5-th percentile28.84878741
Q150.65124542
median67.58928068
Q387.21304223
95-th percentile138.0432196
Maximum271.2185845
Range259.6852033
Interquartile range (IQR)36.56179681

Descriptive statistics

Standard deviation34.80603368
Coefficient of variation (CV)0.4745745477
Kurtosis3.478302312
Mean73.34155161
Median Absolute Deviation (MAD)17.77209448
Skewness1.426872371
Sum42758.12459
Variance1211.459981
MonotonicityNot monotonic
2023-02-02T09:28:04.523301image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.87041792 4
 
0.7%
71.7248262 3
 
0.5%
28.84878741 3
 
0.5%
38.88076465 3
 
0.5%
105.8234681 2
 
0.3%
49.50859172 2
 
0.3%
52.54131482 2
 
0.3%
76.74081482 2
 
0.3%
130.0718826 2
 
0.3%
66.55727172 2
 
0.3%
Other values (522) 558
95.7%
ValueCountFrequency (%)
11.53338121 1
0.2%
14.17998121 1
0.2%
15.04063845 1
0.2%
16.18626276 1
0.2%
18.57305046 1
0.2%
ValueCountFrequency (%)
271.2185845 1
0.2%
225.923121 1
0.2%
224.1809653 1
0.2%
209.0089531 1
0.2%
198.1225676 1
0.2%
Distinct562
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.9972635
Minimum13.08277596
Maximum415.862231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:05.453368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.08277596
5-th percentile35.74472695
Q167.34727419
median90.3357116
Q3121.089199
95-th percentile199.779159
Maximum415.862231
Range402.779455
Interquartile range (IQR)53.74192477

Descriptive statistics

Standard deviation53.16885737
Coefficient of variation (CV)0.5264385936
Kurtosis4.275552009
Mean100.9972635
Median Absolute Deviation (MAD)26.34810552
Skewness1.606949471
Sum58881.40464
Variance2826.927395
MonotonicityNot monotonic
2023-02-02T09:28:06.423990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.07546636 2
 
0.3%
116.3610383 2
 
0.3%
190.0246035 2
 
0.3%
76.55765916 2
 
0.3%
117.8396527 2
 
0.3%
150.4519072 2
 
0.3%
58.15439485 2
 
0.3%
98.81317107 2
 
0.3%
78.34233606 2
 
0.3%
93.71771635 2
 
0.3%
Other values (552) 563
96.6%
ValueCountFrequency (%)
13.08277596 1
0.2%
15.01238796 1
0.2%
16.61769537 1
0.2%
17.03732939 1
0.2%
17.25420141 1
0.2%
ValueCountFrequency (%)
415.862231 1
0.2%
343.5755177 1
0.2%
343.1054521 1
0.2%
308.0445869 1
0.2%
304.9854855 1
0.2%
Distinct533
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.9536373
Minimum9.557324479
Maximum521.2996696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:07.284310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9.557324479
5-th percentile30.48397704
Q171.49428865
median97.72201339
Q3134.2941917
95-th percentile239.1225705
Maximum521.2996696
Range511.7423451
Interquartile range (IQR)62.79990305

Descriptive statistics

Standard deviation65.98468755
Coefficient of variation (CV)0.5893929768
Kurtosis4.881429492
Mean111.9536373
Median Absolute Deviation (MAD)30.68043444
Skewness1.7021006
Sum65268.97055
Variance4353.978991
MonotonicityNot monotonic
2023-02-02T09:28:08.084697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.97007036 5
 
0.9%
230.7429194 4
 
0.7%
167.3826255 4
 
0.7%
149.3395677 3
 
0.5%
41.65304941 3
 
0.5%
56.41991338 3
 
0.5%
27.87148202 3
 
0.5%
32.85780747 3
 
0.5%
82.44983319 3
 
0.5%
221.7213905 2
 
0.3%
Other values (523) 550
94.3%
ValueCountFrequency (%)
9.557324479 2
0.3%
10.87640469 2
0.3%
12.01662072 1
0.2%
12.48070865 1
0.2%
14.0850126 1
0.2%
ValueCountFrequency (%)
521.2996696 1
0.2%
422.7745262 1
0.2%
422.1540647 1
0.2%
368.0248916 1
0.2%
360.3760272 1
0.2%
Distinct489
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.1391577
Minimum3.761770054
Maximum574.3997948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:08.846367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.761770054
5-th percentile21.10311317
Q158.93228735
median85.93745919
Q3130.5367924
95-th percentile248.7859771
Maximum574.3997948
Range570.6380248
Interquartile range (IQR)71.60450508

Descriptive statistics

Standard deviation73.56907357
Coefficient of variation (CV)0.6997304831
Kurtosis5.326837067
Mean105.1391577
Median Absolute Deviation (MAD)33.36673054
Skewness1.809176795
Sum61296.12891
Variance5412.408587
MonotonicityNot monotonic
2023-02-02T09:28:09.757969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.65611028 8
 
1.4%
33.12068101 8
 
1.4%
49.78918759 5
 
0.9%
4.001516144 5
 
0.9%
41.33948672 4
 
0.7%
47.08482183 4
 
0.7%
10.87640469 3
 
0.5%
21.10311317 3
 
0.5%
8.892258097 3
 
0.5%
103.9183607 3
 
0.5%
Other values (479) 537
92.1%
ValueCountFrequency (%)
3.761770054 2
 
0.3%
4.001516144 5
0.9%
8.892258097 3
 
0.5%
10.65611028 8
1.4%
10.70759137 1
 
0.2%
ValueCountFrequency (%)
574.3997948 1
0.2%
457.9160661 1
0.2%
457.4962582 1
0.2%
403.786893 1
0.2%
394.7653641 1
0.2%
Distinct449
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.0093893
Minimum0
Maximum628.3069197
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:10.973135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.348943289
Q136.04986215
median62.82881464
Q3112.4619723
95-th percentile257.7679865
Maximum628.3069197
Range628.3069197
Interquartile range (IQR)76.41211019

Descriptive statistics

Standard deviation82.55653983
Coefficient of variation (CV)0.9275037216
Kurtosis6.237542178
Mean89.0093893
Median Absolute Deviation (MAD)32.12884494
Skewness2.076381581
Sum51892.47396
Variance6815.582269
MonotonicityNot monotonic
2023-02-02T09:28:12.156017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.90195764 12
 
2.1%
0 10
 
1.7%
1.333838715 9
 
1.5%
30.6999697 7
 
1.2%
57.3138636 7
 
1.2%
266.8290348 4
 
0.7%
9.348943289 4
 
0.7%
118.5266697 3
 
0.5%
10.67070972 3
 
0.5%
29.3645722 3
 
0.5%
Other values (439) 521
89.4%
ValueCountFrequency (%)
0 10
1.7%
0.8892258097 2
 
0.3%
1.333838715 9
1.5%
4.001516144 3
 
0.5%
5.335354858 2
 
0.3%
ValueCountFrequency (%)
628.3069197 1
0.2%
501.4240634 1
0.2%
500.3809508 1
0.2%
446.2517777 1
0.2%
437.2302488 1
0.2%
Distinct392
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.42174843
Minimum0
Maximum670.7192483
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:13.107357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.69512529
median42.08434735
Q393.52928132
95-th percentile261.0841061
Maximum670.7192483
Range670.7192483
Interquartile range (IQR)74.83415603

Descriptive statistics

Standard deviation90.13507446
Coefficient of variation (CV)1.211138899
Kurtosis7.029667933
Mean74.42174843
Median Absolute Deviation (MAD)30.07979892
Skewness2.302959685
Sum43387.87933
Variance8124.331649
MonotonicityNot monotonic
2023-02-02T09:28:13.830220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
10.682782 14
 
2.4%
2.792241 11
 
1.9%
4.001516144 10
 
1.7%
21.23579636 8
 
1.4%
14.79678943 7
 
1.2%
12.00454843 6
 
1.0%
32.03380842 6
 
1.0%
42.08434735 5
 
0.9%
24.02921734 5
 
0.9%
Other values (382) 479
82.2%
ValueCountFrequency (%)
0 32
5.5%
1.333838715 3
 
0.5%
2.792241 11
 
1.9%
4.001516144 10
 
1.7%
4.001516144 2
 
0.3%
ValueCountFrequency (%)
670.7192483 1
0.2%
535.1055893 1
0.2%
534.8148632 1
0.2%
480.9764161 1
0.2%
472.5267153 1
0.2%
Distinct267
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.12178886
Minimum0
Maximum680.0935609
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:14.653039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.001516144
median24.02921734
Q375.97119799
95-th percentile256.6042878
Maximum680.0935609
Range680.0935609
Interquartile range (IQR)71.96968184

Descriptive statistics

Standard deviation92.97628551
Coefficient of variation (CV)1.49667753
Kurtosis7.590222017
Mean62.12178886
Median Absolute Deviation (MAD)24.02921734
Skewness2.462884172
Sum36217.00291
Variance8644.589667
MonotonicityNot monotonic
2023-02-02T09:28:15.381582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
4.001516144 27
 
4.6%
21.23579636 11
 
1.9%
24.02921734 11
 
1.9%
10.682782 11
 
1.9%
5.335354858 10
 
1.7%
12.00454843 6
 
1.0%
28.03475758 6
 
1.0%
129.8960747 6
 
1.0%
28.04682987 5
 
0.9%
Other values (257) 381
65.4%
ValueCountFrequency (%)
0 109
18.7%
0.7334723 1
 
0.2%
1.333838715 4
 
0.7%
1.4669446 1
 
0.2%
1.778451619 2
 
0.3%
ValueCountFrequency (%)
680.0935609 1
0.2%
535.4583731 1
0.2%
535.167647 1
0.2%
481.9010279 1
0.2%
473.6822222 1
0.2%
Distinct196
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.82544056
Minimum0
Maximum613.8710132
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:16.745969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.578782659
Q363.11444873
95-th percentile238.4451471
Maximum613.8710132
Range613.8710132
Interquartile range (IQR)63.11444873

Descriptive statistics

Standard deviation88.80554316
Coefficient of variation (CV)1.747265586
Kurtosis7.236075198
Mean50.82544056
Median Absolute Deviation (MAD)8.578782659
Skewness2.540853299
Sum29631.23185
Variance7886.424496
MonotonicityNot monotonic
2023-02-02T09:28:17.521176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
4.001516144 23
 
3.9%
5.335354858 18
 
3.1%
10.682782 11
 
1.9%
12.00454843 10
 
1.7%
8.003032287 10
 
1.7%
2.667677429 8
 
1.4%
6.939658816 7
 
1.2%
126.2288975 7
 
1.2%
120.8745459 6
 
1.0%
Other values (186) 290
49.7%
ValueCountFrequency (%)
0 193
33.1%
0.4446129048 1
 
0.2%
0.8892258097 2
 
0.3%
1.333838715 4
 
0.7%
2.2004169 1
 
0.2%
ValueCountFrequency (%)
613.8710132 1
0.2%
460.2142965 1
0.2%
459.9235704 1
0.2%
450.5913158 1
0.2%
407.4596745 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7952.996918
Minimum1928.479035
Maximum26997.23557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:18.581298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1928.479035
5-th percentile3633.638165
Q15857.864818
median7453.217046
Q39210.914699
95-th percentile14118.43572
Maximum26997.23557
Range25068.75653
Interquartile range (IQR)3353.04988

Descriptive statistics

Standard deviation3324.18779
Coefficient of variation (CV)0.4179792629
Kurtosis3.193323046
Mean7952.996918
Median Absolute Deviation (MAD)1668.455095
Skewness1.35512149
Sum4636597.203
Variance11050224.46
MonotonicityNot monotonic
2023-02-02T09:28:19.642936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7982.181225 3
 
0.5%
7485.551565 3
 
0.5%
7173.305923 3
 
0.5%
8663.194904 2
 
0.3%
7898.258295 2
 
0.3%
4907.723362 2
 
0.3%
6014.670512 2
 
0.3%
12735.91227 2
 
0.3%
7283.533778 2
 
0.3%
6956.587386 2
 
0.3%
Other values (519) 560
96.1%
ValueCountFrequency (%)
1928.479035 1
0.2%
2363.646985 1
0.2%
2392.240542 1
0.2%
2527.913527 1
0.2%
2626.784571 1
0.2%
ValueCountFrequency (%)
26997.23557 1
0.2%
21814.22043 1
0.2%
21544.85707 1
0.2%
20085.67709 1
0.2%
19984.40769 1
0.2%
Distinct533
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6564.698133
Minimum1483.850972
Maximum22563.03802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:20.437364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1483.850972
5-th percentile3016.475516
Q14793.059511
median6061.874347
Q37480.447322
95-th percentile12003.00145
Maximum22563.03802
Range21079.18705
Interquartile range (IQR)2687.387811

Descriptive statistics

Standard deviation2812.104431
Coefficient of variation (CV)0.4283676682
Kurtosis3.284217872
Mean6564.698133
Median Absolute Deviation (MAD)1335.691874
Skewness1.432207553
Sum3827219.011
Variance7907931.333
MonotonicityNot monotonic
2023-02-02T09:28:21.141493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6822.498393 4
 
0.7%
2919.886694 3
 
0.5%
3785.965597 3
 
0.5%
6500.170433 3
 
0.5%
2061.462404 2
 
0.3%
6067.572543 2
 
0.3%
6933.209885 2
 
0.3%
5235.600106 2
 
0.3%
6933.209885 2
 
0.3%
11053.98075 2
 
0.3%
Other values (523) 558
95.7%
ValueCountFrequency (%)
1483.850972 1
0.2%
2061.462404 2
0.3%
2077.629274 1
0.2%
2108.798017 1
0.2%
2219.633171 1
0.2%
ValueCountFrequency (%)
22563.03802 1
0.2%
18227.38687 1
0.2%
17963.67241 1
0.2%
16893.11727 1
0.2%
16782.40578 1
0.2%
Distinct560
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13865.20789
Minimum2186.526572
Maximum46985.4989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:21.910840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2186.526572
5-th percentile5571.009499
Q110017.25759
median12955.90154
Q316392.95583
95-th percentile25291.86165
Maximum46985.4989
Range44798.97233
Interquartile range (IQR)6375.698234

Descriptive statistics

Standard deviation6163.474292
Coefficient of variation (CV)0.4445280835
Kurtosis2.442214547
Mean13865.20789
Median Absolute Deviation (MAD)3100.044998
Skewness1.224112136
Sum8083416.201
Variance37988415.35
MonotonicityNot monotonic
2023-02-02T09:28:22.629357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3749.587747 2
 
0.3%
10376.52117 2
 
0.3%
24729.09925 2
 
0.3%
10050.98485 2
 
0.3%
14850.05474 2
 
0.3%
20368.18729 2
 
0.3%
11159.28427 2
 
0.3%
13621.79281 2
 
0.3%
11300.72337 2
 
0.3%
12224.92557 2
 
0.3%
Other values (550) 563
96.6%
ValueCountFrequency (%)
2186.526572 1
0.2%
2742.88043 1
0.2%
3634.164372 1
0.2%
3634.69839 1
0.2%
3749.587747 2
0.3%
ValueCountFrequency (%)
46985.4989 1
0.2%
37098.79977 1
0.2%
36313.46745 1
0.2%
36263.33639 1
0.2%
35827.18025 1
0.2%
Distinct530
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17268.11518
Minimum2520.811836
Maximum60766.33589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:23.364874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2520.811836
5-th percentile5310.110763
Q110958.91061
median15498.90238
Q321269.9289
95-th percentile36641.09708
Maximum60766.33589
Range58245.52405
Interquartile range (IQR)10311.01829

Descriptive statistics

Standard deviation9395.05167
Coefficient of variation (CV)0.5440693192
Kurtosis1.818815841
Mean17268.11518
Median Absolute Deviation (MAD)5127.962061
Skewness1.204223898
Sum10067311.15
Variance88266995.88
MonotonicityNot monotonic
2023-02-02T09:28:23.977981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3983.475106 5
 
0.9%
37117.80982 4
 
0.7%
7813.651881 4
 
0.7%
5873.329152 3
 
0.5%
26571.04671 3
 
0.5%
7344.629694 3
 
0.5%
13909.11101 3
 
0.5%
12270.24697 3
 
0.5%
5601.452922 3
 
0.5%
16874.78652 2
 
0.3%
Other values (520) 550
94.3%
ValueCountFrequency (%)
2520.811836 2
0.3%
2756.205859 1
0.2%
3137.747111 1
0.2%
3271.302859 2
0.3%
3749.690655 1
0.2%
ValueCountFrequency (%)
60766.33589 1
0.2%
54728.43672 1
0.2%
52763.70853 1
0.2%
52634.66512 1
0.2%
52012.05713 1
0.2%
Distinct489
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18094.53152
Minimum1308.213541
Maximum77559.0634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:24.625685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1308.213541
5-th percentile4992.776605
Q110746.67992
median16214.95459
Q322387.74623
95-th percentile40286.11535
Maximum77559.0634
Range76250.84986
Interquartile range (IQR)11641.06631

Descriptive statistics

Standard deviation10710.41822
Coefficient of variation (CV)0.591914646
Kurtosis2.59643193
Mean18094.53152
Median Absolute Deviation (MAD)5628.676849
Skewness1.322053336
Sum10549111.88
Variance114713058.4
MonotonicityNot monotonic
2023-02-02T09:28:25.243150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2869.67245 8
 
1.4%
9042.376193 6
 
1.0%
5921.30273 5
 
0.9%
1664.258868 5
 
0.9%
26789.83805 4
 
0.7%
15581.37138 4
 
0.7%
7571.075651 4
 
0.7%
40075.72013 4
 
0.7%
5126.468649 3
 
0.5%
5344.965892 3
 
0.5%
Other values (479) 537
92.1%
ValueCountFrequency (%)
1308.213541 2
 
0.3%
1664.258868 5
0.9%
2869.67245 8
1.4%
3271.302859 3
 
0.5%
3271.616894 1
 
0.2%
ValueCountFrequency (%)
77559.0634 1
0.2%
58123.58824 1
0.2%
58056.95445 1
0.2%
57015.85678 1
0.2%
55721.61884 1
0.2%
Distinct446
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16302.4236
Minimum0
Maximum72873.16144
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:25.855114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2219.011824
Q17892.754471
median13467.73543
Q321863.11235
95-th percentile40895.12589
Maximum72873.16144
Range72873.16144
Interquartile range (IQR)13970.35788

Descriptive statistics

Standard deviation11768.89718
Coefficient of variation (CV)0.7219108931
Kurtosis1.560552375
Mean16302.4236
Median Absolute Deviation (MAD)6874.328013
Skewness1.199841779
Sum9504312.956
Variance138506940.8
MonotonicityNot monotonic
2023-02-02T09:28:26.437762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
554.7529561 9
 
1.5%
11839.17475 8
 
1.4%
4131.914849 7
 
1.2%
4926.748931 6
 
1.0%
10215.73003 5
 
0.9%
4131.914849 5
 
0.9%
24316.3291 4
 
0.7%
40309.49259 4
 
0.7%
6576.521851 4
 
0.7%
Other values (436) 521
89.4%
ValueCountFrequency (%)
0 10
1.7%
369.835304 2
 
0.3%
554.7529561 9
1.5%
1473.488242 1
 
0.2%
1664.258868 3
 
0.5%
ValueCountFrequency (%)
72873.16144 1
0.2%
58679.52915 1
0.2%
58056.95445 1
0.2%
57410.60699 1
0.2%
56787.99899 1
0.2%
Distinct394
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13767.52789
Minimum0
Maximum96846.60946
Zeros32
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:27.086626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14861.942168
median9214.401458
Q317731.06112
95-th percentile41359.36906
Maximum96846.60946
Range96846.60946
Interquartile range (IQR)12869.11895

Descriptive statistics

Standard deviation13512.97585
Coefficient of variation (CV)0.981510694
Kurtosis4.525614743
Mean13767.52789
Median Absolute Deviation (MAD)5393.654476
Skewness1.882162128
Sum8026468.758
Variance182600516.4
MonotonicityNot monotonic
2023-02-02T09:28:27.678643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
2582.994154 14
 
2.4%
1664.258868 12
 
2.1%
2731.985639 11
 
1.9%
5481.501887 9
 
1.5%
4686.667805 6
 
1.0%
2219.011824 5
 
0.9%
3328.517736 5
 
0.9%
7724.762243 5
 
0.9%
6893.837386 4
 
0.7%
Other values (384) 480
82.3%
ValueCountFrequency (%)
0 32
5.5%
554.7529561 3
 
0.5%
1664.258868 12
 
2.1%
1792.369106 1
 
0.2%
1801.405288 1
 
0.2%
ValueCountFrequency (%)
96846.60946 1
0.2%
74013.42314 1
0.2%
73364.56416 1
0.2%
65139.69221 1
0.2%
63668.39167 1
0.2%
Distinct282
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11178.08198
Minimum0
Maximum92389.22831
Zeros109
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:28.430278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11664.258868
median6095.657421
Q313549.63985
95-th percentile41879.26952
Maximum92389.22831
Range92389.22831
Interquartile range (IQR)11885.38098

Descriptive statistics

Standard deviation14456.4754
Coefficient of variation (CV)1.293287653
Kurtosis3.665853141
Mean11178.08198
Median Absolute Deviation (MAD)4986.151509
Skewness1.923722268
Sum6516821.793
Variance208989681.1
MonotonicityNot monotonic
2023-02-02T09:28:28.798190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
1664.258868 29
 
5.0%
6893.837386 13
 
2.2%
2582.994154 11
 
1.9%
2219.011824 10
 
1.7%
40309.49259 6
 
1.0%
4686.667805 6
 
1.0%
3328.517736 6
 
1.0%
4686.667805 5
 
0.9%
4992.776605 5
 
0.9%
Other values (272) 383
65.7%
ValueCountFrequency (%)
0 109
18.7%
197.6411304 1
 
0.2%
395.2822608 1
 
0.2%
554.7529561 3
 
0.5%
554.7529561 1
 
0.2%
ValueCountFrequency (%)
92389.22831 1
0.2%
68077.08684 1
0.2%
67428.22785 1
0.2%
64595.34977 1
0.2%
59302.13714 1
0.2%
Distinct208
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9513.338525
Minimum0
Maximum117637.0353
Zeros193
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:29.141779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2774.564654
Q311560.48566
95-th percentile44061.49592
Maximum117637.0353
Range117637.0353
Interquartile range (IQR)11560.48566

Descriptive statistics

Standard deviation15497.69972
Coefficient of variation (CV)1.629049537
Kurtosis9.005841662
Mean9513.338525
Median Absolute Deviation (MAD)2774.564654
Skewness2.655054296
Sum5546276.36
Variance240178696.5
MonotonicityNot monotonic
2023-02-02T09:28:29.512854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
1664.258868 23
 
3.9%
2219.011824 18
 
3.1%
2582.994154 11
 
1.9%
3328.517736 10
 
1.7%
1109.505912 8
 
1.4%
4992.776605 7
 
1.2%
27700.21359 6
 
1.0%
20434.21659 6
 
1.0%
2731.985639 6
 
1.0%
Other values (198) 295
50.6%
ValueCountFrequency (%)
0 193
33.1%
184.917652 1
 
0.2%
369.835304 2
 
0.3%
554.7529561 4
 
0.7%
592.9233912 1
 
0.2%
ValueCountFrequency (%)
117637.0353 1
0.2%
91845.93868 1
0.2%
91197.07969 1
0.2%
82809.0446 1
0.2%
82014.21051 1
0.2%
Distinct541
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.308568505
Minimum0.7596261205
Maximum26.13507625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:29.904044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.7596261205
5-th percentile1.286405487
Q15.181818182
median8.733333333
Q313.32523617
95-th percentile18.20796056
Maximum26.13507625
Range25.37545013
Interquartile range (IQR)8.143417986

Descriptive statistics

Standard deviation5.276735414
Coefficient of variation (CV)0.5668686234
Kurtosis-0.5202097845
Mean9.308568505
Median Absolute Deviation (MAD)4.047619048
Skewness0.3907964766
Sum5426.895438
Variance27.84393662
MonotonicityNot monotonic
2023-02-02T09:28:30.463591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.181818182 3
 
0.5%
11.63593381 3
 
0.5%
12.33838384 3
 
0.5%
5.69005848 2
 
0.3%
14.82222222 2
 
0.3%
6.054320988 2
 
0.3%
6.506944444 2
 
0.3%
5.153439153 2
 
0.3%
6.666666667 2
 
0.3%
11.1043771 2
 
0.3%
Other values (531) 560
96.1%
ValueCountFrequency (%)
0.7596261205 1
0.2%
0.9372427984 1
0.2%
0.9605422416 1
0.2%
0.9812528578 1
0.2%
0.9997834091 1
0.2%
ValueCountFrequency (%)
26.13507625 1
0.2%
25.05555556 1
0.2%
23.91919192 1
0.2%
23.4379085 1
0.2%
23.12888889 1
0.2%
Distinct546
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.269960078
Minimum0.5857673392
Maximum14.88666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:30.848991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5857673392
5-th percentile1.365977153
Q12.853846154
median4.775193798
Q37.193850267
95-th percentile10.61322115
Maximum14.88666667
Range14.30089933
Interquartile range (IQR)4.340004114

Descriptive statistics

Standard deviation2.951608139
Coefficient of variation (CV)0.5600816886
Kurtosis-0.110190282
Mean5.269960078
Median Absolute Deviation (MAD)2.089885567
Skewness0.6495013854
Sum3072.386725
Variance8.711990608
MonotonicityNot monotonic
2023-02-02T09:28:31.280155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.851851852 4
 
0.7%
4.615384615 2
 
0.3%
0.9941520468 2
 
0.3%
5.822916667 2
 
0.3%
10 2
 
0.3%
1.367088608 2
 
0.3%
5.509803922 2
 
0.3%
6.444444444 2
 
0.3%
4.442622951 2
 
0.3%
2.428571429 2
 
0.3%
Other values (536) 561
96.2%
ValueCountFrequency (%)
0.5857673392 1
0.2%
0.7729468599 1
0.2%
0.8072562358 1
0.2%
0.8376068376 1
0.2%
0.8646464646 1
0.2%
ValueCountFrequency (%)
14.88666667 1
0.2%
14.75 1
0.2%
14.49612403 1
0.2%
13.94557823 1
0.2%
13.79310345 1
0.2%
Distinct561
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.088618144
Minimum0.3835125448
Maximum21.56756757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:31.737150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3835125448
5-th percentile0.7461437908
Q13.235691408
median6.53030303
Q310.41105605
95-th percentile14.89957013
Maximum21.56756757
Range21.18405502
Interquartile range (IQR)7.175364641

Descriptive statistics

Standard deviation4.54836483
Coefficient of variation (CV)0.6416433693
Kurtosis-0.5220504187
Mean7.088618144
Median Absolute Deviation (MAD)3.635622896
Skewness0.4504951456
Sum4132.664378
Variance20.68762262
MonotonicityNot monotonic
2023-02-02T09:28:32.210076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.863636364 3
 
0.5%
8 2
 
0.3%
1.408602151 2
 
0.3%
3.585365854 2
 
0.3%
15.45454545 2
 
0.3%
5.827160494 2
 
0.3%
3.77294686 2
 
0.3%
2.511111111 2
 
0.3%
0.7555555556 2
 
0.3%
0.798245614 2
 
0.3%
Other values (551) 562
96.4%
ValueCountFrequency (%)
0.3835125448 1
0.2%
0.4625322997 1
0.2%
0.469557877 1
0.2%
0.4953703704 1
0.2%
0.5012345679 1
0.2%
ValueCountFrequency (%)
21.56756757 1
0.2%
20.45048309 1
0.2%
19.72093023 1
0.2%
19.35714286 1
0.2%
18.97363465 1
0.2%
Distinct482
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.78517371
Minimum0
Maximum23.36842105
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:32.616524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3333333333
Q10.6838753388
median1.761904762
Q38.43788118
95-th percentile15.28456037
Maximum23.36842105
Range23.36842105
Interquartile range (IQR)7.754005841

Descriptive statistics

Standard deviation5.259316706
Coefficient of variation (CV)1.099085848
Kurtosis0.7027718953
Mean4.78517371
Median Absolute Deviation (MAD)1.391534392
Skewness1.196229848
Sum2789.756273
Variance27.66041221
MonotonicityNot monotonic
2023-02-02T09:28:33.055027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
0.4444444444 7
 
1.2%
0.3333333333 6
 
1.0%
0.7777777778 5
 
0.9%
0.5925925926 5
 
0.9%
0.5802469136 4
 
0.7%
1.291666667 4
 
0.7%
0.8666666667 4
 
0.7%
0.7733333333 4
 
0.7%
0.5511111111 4
 
0.7%
Other values (472) 530
90.9%
ValueCountFrequency (%)
0 10
1.7%
0.03703703704 2
 
0.3%
0.05555555556 1
 
0.2%
0.08163265306 1
 
0.2%
0.1111111111 1
 
0.2%
ValueCountFrequency (%)
23.36842105 1
0.2%
23.31481481 1
0.2%
23.25 1
0.2%
22.81212121 1
0.2%
22.52380952 1
0.2%
Distinct422
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.753506287
Minimum1.4
Maximum4.607843137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:33.644523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.946088193
Q12.320493827
median2.65
Q33.180194805
95-th percentile3.76037296
Maximum4.607843137
Range3.207843137
Interquartile range (IQR)0.859700978

Descriptive statistics

Standard deviation0.5807248682
Coefficient of variation (CV)0.2109037742
Kurtosis-0.29102416
Mean2.753506287
Median Absolute Deviation (MAD)0.4125
Skewness0.4743598382
Sum1605.294165
Variance0.3372413725
MonotonicityNot monotonic
2023-02-02T09:28:34.063894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 12
 
2.1%
3.4 7
 
1.2%
2.978723404 5
 
0.9%
2.444444444 5
 
0.9%
1.916666667 5
 
0.9%
2.8 5
 
0.9%
2.333333333 5
 
0.9%
2.2 5
 
0.9%
1.952380952 4
 
0.7%
3 4
 
0.7%
Other values (412) 526
90.2%
ValueCountFrequency (%)
1.4 1
0.2%
1.5 1
0.2%
1.6 1
0.2%
1.611111111 1
0.2%
1.625 1
0.2%
ValueCountFrequency (%)
4.607843137 1
0.2%
4.477272727 1
0.2%
4.409090909 1
0.2%
4.323529412 1
0.2%
4.32 1
0.2%
Distinct414
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.313091165
Minimum1.538461538
Maximum5.88372093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:34.685414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.538461538
5-th percentile2.458796992
Q12.829888384
median3.14
Q33.743589744
95-th percentile4.604414261
Maximum5.88372093
Range4.345259392
Interquartile range (IQR)0.91370136

Descriptive statistics

Standard deviation0.7099468483
Coefficient of variation (CV)0.2142853344
Kurtosis0.5013627298
Mean3.313091165
Median Absolute Deviation (MAD)0.4266666667
Skewness0.7273458062
Sum1931.532149
Variance0.5040245274
MonotonicityNot monotonic
2023-02-02T09:28:35.092449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 22
 
3.8%
4 10
 
1.7%
3.5 6
 
1.0%
2.857142857 6
 
1.0%
2.875 5
 
0.9%
2.571428571 4
 
0.7%
2.842105263 4
 
0.7%
2.538461538 3
 
0.5%
2.8 3
 
0.5%
3.25 3
 
0.5%
Other values (404) 517
88.7%
ValueCountFrequency (%)
1.538461538 1
0.2%
1.625 1
0.2%
1.75 1
0.2%
1.769230769 1
0.2%
1.888888889 1
0.2%
ValueCountFrequency (%)
5.88372093 1
0.2%
5.76744186 1
0.2%
5.68 1
0.2%
5.489795918 1
0.2%
5.405405405 1
0.2%
Distinct474
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.59536245
Minimum1.25
Maximum4.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:35.634052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.25
5-th percentile2.003225806
Q12.28864611
median2.546875
Q32.833333333
95-th percentile3.455879934
Maximum4.25
Range3
Interquartile range (IQR)0.5446872235

Descriptive statistics

Standard deviation0.4482554137
Coefficient of variation (CV)0.1727139937
Kurtosis1.222308103
Mean2.59536245
Median Absolute Deviation (MAD)0.265625
Skewness0.5701745678
Sum1513.096308
Variance0.2009329159
MonotonicityNot monotonic
2023-02-02T09:28:36.229463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.666666667 8
 
1.4%
3 7
 
1.2%
2.681818182 4
 
0.7%
2.333333333 4
 
0.7%
2 4
 
0.7%
2.625 4
 
0.7%
2.345454545 3
 
0.5%
2.636363636 3
 
0.5%
2.833333333 3
 
0.5%
2.857142857 3
 
0.5%
Other values (464) 540
92.6%
ValueCountFrequency (%)
1.25 1
 
0.2%
1.285714286 2
0.3%
1.36 1
 
0.2%
1.444444444 3
0.5%
1.59375 1
 
0.2%
ValueCountFrequency (%)
4.25 1
0.2%
4.076923077 1
0.2%
3.988888889 1
0.2%
3.95480226 1
0.2%
3.941747573 1
0.2%
Distinct401
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.086142595
Minimum1
Maximum3.96347032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:36.974841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.519545455
Q11.897435897
median2.025316456
Q32.25
95-th percentile2.703327041
Maximum3.96347032
Range2.96347032
Interquartile range (IQR)0.3525641026

Descriptive statistics

Standard deviation0.3706228621
Coefficient of variation (CV)0.1776594098
Kurtosis4.017571695
Mean2.086142595
Median Absolute Deviation (MAD)0.1642053446
Skewness0.8935347538
Sum1216.221133
Variance0.1373613059
MonotonicityNot monotonic
2023-02-02T09:28:37.669092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 22
 
3.8%
2.25 10
 
1.7%
2.166666667 8
 
1.4%
1.851851852 7
 
1.2%
1 7
 
1.2%
2.083333333 6
 
1.0%
1.888888889 6
 
1.0%
1.962962963 6
 
1.0%
1.708333333 5
 
0.9%
1.92 5
 
0.9%
Other values (391) 501
85.9%
ValueCountFrequency (%)
1 7
1.2%
1.181818182 1
 
0.2%
1.222222222 2
 
0.3%
1.266666667 1
 
0.2%
1.333333333 2
 
0.3%
ValueCountFrequency (%)
3.96347032 1
0.2%
3.877192982 1
0.2%
3.703703704 1
0.2%
3.575757576 1
0.2%
3.489361702 1
0.2%
Distinct511
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.78862082
Minimum13.9047619
Maximum173.8064516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:38.606735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.9047619
5-th percentile17.61993355
Q123.64313725
median30.28571429
Q340.13888889
95-th percentile54.3711575
Maximum173.8064516
Range159.9016897
Interquartile range (IQR)16.49575163

Descriptive statistics

Standard deviation17.23998764
Coefficient of variation (CV)0.5102305811
Kurtosis21.78916184
Mean33.78862082
Median Absolute Deviation (MAD)8.043290043
Skewness3.722508197
Sum19698.76594
Variance297.2171738
MonotonicityNot monotonic
2023-02-02T09:28:39.311131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.65957447 4
 
0.7%
43.9 3
 
0.5%
34.75 3
 
0.5%
38.6 3
 
0.5%
43.57894737 3
 
0.5%
41.72093023 3
 
0.5%
39.36363636 3
 
0.5%
44.4 3
 
0.5%
18.45454545 2
 
0.3%
38.96296296 2
 
0.3%
Other values (501) 554
95.0%
ValueCountFrequency (%)
13.9047619 1
0.2%
14.80952381 2
0.3%
14.83516484 1
0.2%
14.88888889 1
0.2%
14.9375 1
0.2%
ValueCountFrequency (%)
173.8064516 1
0.2%
156.7 1
0.2%
147.6756757 2
0.3%
132.9302326 1
0.2%
128.8372093 1
0.2%
Distinct509
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.28764567
Minimum15.56756757
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:40.043674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum15.56756757
5-th percentile17.26873614
Q121.05505952
median28.08333333
Q338.48888889
95-th percentile49.43846154
Maximum76
Range60.43243243
Interquartile range (IQR)17.43382937

Descriptive statistics

Standard deviation10.79427574
Coefficient of variation (CV)0.356392037
Kurtosis0.09436155219
Mean30.28764567
Median Absolute Deviation (MAD)8.16025641
Skewness0.7598649468
Sum17657.69742
Variance116.5163886
MonotonicityNot monotonic
2023-02-02T09:28:41.047560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.65217391 4
 
0.7%
38.48888889 4
 
0.7%
22.23076923 3
 
0.5%
44.56410256 3
 
0.5%
18.85714286 3
 
0.5%
19.44 3
 
0.5%
40.0952381 3
 
0.5%
20.52631579 3
 
0.5%
19.2 3
 
0.5%
18 3
 
0.5%
Other values (499) 551
94.5%
ValueCountFrequency (%)
15.56756757 1
 
0.2%
15.65217391 4
0.7%
15.69230769 2
0.3%
15.72413793 2
0.3%
15.73770492 1
 
0.2%
ValueCountFrequency (%)
76 1
0.2%
65.71428571 2
0.3%
63.12195122 1
0.2%
61.30769231 1
0.2%
58.43902439 1
0.2%
Distinct554
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.23253987
Minimum9.095238095
Maximum145.462963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:42.161669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9.095238095
5-th percentile11.28592163
Q115.81696429
median21.95652174
Q332.90677355
95-th percentile45.35756889
Maximum145.462963
Range136.3677249
Interquartile range (IQR)17.08980927

Descriptive statistics

Standard deviation13.80512645
Coefficient of variation (CV)0.5471160063
Kurtosis19.83240396
Mean25.23253987
Median Absolute Deviation (MAD)7.494983278
Skewness3.174632999
Sum14710.57075
Variance190.5815162
MonotonicityNot monotonic
2023-02-02T09:28:43.446439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.31818182 2
 
0.3%
17.15942029 2
 
0.3%
28.70175439 2
 
0.3%
10.33974359 2
 
0.3%
27.76666667 2
 
0.3%
11.96774194 2
 
0.3%
14.98373984 2
 
0.3%
15.18181818 2
 
0.3%
44.1875 2
 
0.3%
33.83636364 2
 
0.3%
Other values (544) 563
96.6%
ValueCountFrequency (%)
9.095238095 1
0.2%
9.333333333 1
0.2%
9.58974359 1
0.2%
9.912280702 1
0.2%
10.24242424 1
0.2%
ValueCountFrequency (%)
145.462963 1
0.2%
120.9393939 1
0.2%
120.8636364 1
0.2%
107.2435897 1
0.2%
103.9615385 1
0.2%
Distinct514
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.54652858
Minimum2.666666667
Maximum57.98484848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:44.674708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.666666667
5-th percentile7.632142857
Q19.244791667
median13.19
Q324.77931034
95-th percentile38.82666667
Maximum57.98484848
Range55.31818182
Interquartile range (IQR)15.53451868

Descriptive statistics

Standard deviation10.58554883
Coefficient of variation (CV)0.6032845062
Kurtosis0.5446473253
Mean17.54652858
Median Absolute Deviation (MAD)5.012222222
Skewness1.108143658
Sum10229.62616
Variance112.053844
MonotonicityNot monotonic
2023-02-02T09:28:45.408689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.625 5
 
0.9%
10.5 5
 
0.9%
11.3125 4
 
0.7%
7.895061728 4
 
0.7%
7.964444444 4
 
0.7%
7.993055556 3
 
0.5%
14.03448276 3
 
0.5%
9.462962963 3
 
0.5%
9.733333333 3
 
0.5%
7.788235294 3
 
0.5%
Other values (504) 546
93.7%
ValueCountFrequency (%)
2.666666667 1
0.2%
2.833333333 2
0.3%
3.571428571 1
0.2%
3.6 2
0.3%
4.125 1
0.2%
ValueCountFrequency (%)
57.98484848 1
0.2%
54.25 1
0.2%
51.56410256 1
0.2%
50.02727273 1
0.2%
49.93650794 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.3079076
Minimum53.74860377
Maximum886.8043335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:46.219669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum53.74860377
5-th percentile69.81778262
Q194.88423686
median126.0888489
Q3169.4270394
95-th percentile246.1930986
Maximum886.8043335
Range833.0557297
Interquartile range (IQR)74.54280257

Descriptive statistics

Standard deviation89.25367251
Coefficient of variation (CV)0.6228105205
Kurtosis28.20856923
Mean143.3079076
Median Absolute Deviation (MAD)35.97933129
Skewness4.473513543
Sum83548.51013
Variance7966.218057
MonotonicityNot monotonic
2023-02-02T09:28:47.352492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154.1882125 4
 
0.7%
180.204734 3
 
0.5%
171.0345491 3
 
0.5%
179.1567694 3
 
0.5%
161.3761304 3
 
0.5%
182.2916366 3
 
0.5%
179.8553543 2
 
0.3%
133.6549708 2
 
0.3%
99.28451513 2
 
0.3%
193.1180869 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
53.74860377 1
0.2%
57.40198312 2
0.3%
57.56302692 1
0.2%
57.72185596 1
0.2%
57.97983087 1
0.2%
ValueCountFrequency (%)
886.8043335 1
0.2%
868.6949017 1
0.2%
750.9061307 2
0.3%
679.4804051 1
0.2%
670.6813306 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.41972
Minimum53.98879576
Maximum343.0139206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:49.299287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum53.98879576
5-th percentile61.26926056
Q178.37346792
median108.2443456
Q3150.8490752
95-th percentile197.8417488
Maximum343.0139206
Range289.0251248
Interquartile range (IQR)72.4756073

Descriptive statistics

Standard deviation46.32736205
Coefficient of variation (CV)0.3945449883
Kurtosis0.8828857877
Mean117.41972
Median Absolute Deviation (MAD)35.25262239
Skewness0.8884055353
Sum68455.69676
Variance2146.224475
MonotonicityNot monotonic
2023-02-02T09:28:50.629126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.41348552 4
 
0.7%
149.9945265 4
 
0.7%
175.8260541 3
 
0.5%
156.6970333 3
 
0.5%
82.47816077 2
 
0.3%
128.7688401 2
 
0.3%
145.1047901 2
 
0.3%
103.2259851 2
 
0.3%
170.9291413 2
 
0.3%
63.59015596 2
 
0.3%
Other values (517) 557
95.5%
ValueCountFrequency (%)
53.98879576 1
 
0.2%
54.41348552 4
0.7%
54.61494092 2
0.3%
54.7747159 2
0.3%
54.8428167 1
 
0.2%
ValueCountFrequency (%)
343.0139206 1
0.2%
293.8388654 1
0.2%
293.8388654 1
0.2%
278.9382438 1
0.2%
259.0565094 1
0.2%
Distinct563
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.11138187
Minimum28.03177743
Maximum740.3731676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:51.697733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum28.03177743
5-th percentile37.32980547
Q156.86934521
median84.37783079
Q3131.2252665
95-th percentile183.7084372
Maximum740.3731676
Range712.3413901
Interquartile range (IQR)74.35592128

Descriptive statistics

Standard deviation66.22668812
Coefficient of variation (CV)0.6682046691
Kurtosis31.45901595
Mean99.11138187
Median Absolute Deviation (MAD)33.96361372
Skewness4.235732804
Sum57781.93563
Variance4385.974219
MonotonicityNot monotonic
2023-02-02T09:28:52.491256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.82480505 2
 
0.3%
63.99280848 2
 
0.3%
33.35213715 2
 
0.3%
108.8968757 2
 
0.3%
40.02703166 2
 
0.3%
54.17060193 2
 
0.3%
140.2873478 2
 
0.3%
88.91555751 2
 
0.3%
35.48404981 2
 
0.3%
72.87452045 2
 
0.3%
Other values (553) 563
96.6%
ValueCountFrequency (%)
28.03177743 1
0.2%
28.97688381 1
0.2%
29.99469069 1
0.2%
31.20906035 1
0.2%
32.91874496 1
0.2%
ValueCountFrequency (%)
740.3731676 1
0.2%
611.9625774 1
0.2%
611.62982 1
0.2%
535.2676956 1
0.2%
523.0629381 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.25766333
Minimum4.713072
Maximum241.3216359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:53.537781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.713072
5-th percentile22.37437349
Q129.46715001
median45.06568201
Q397.36979189
95-th percentile155.2349243
Maximum241.3216359
Range236.6085639
Interquartile range (IQR)67.90264188

Descriptive statistics

Standard deviation46.06502831
Coefficient of variation (CV)0.7058945412
Kurtosis0.6399061491
Mean65.25766333
Median Absolute Deviation (MAD)19.96227705
Skewness1.142884736
Sum38045.21772
Variance2121.986834
MonotonicityNot monotonic
2023-02-02T09:28:54.169611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.59782892 5
 
0.9%
33.58799861 5
 
0.9%
37.05629035 4
 
0.7%
24.60323546 4
 
0.7%
25.10340496 4
 
0.7%
31.73081482 3
 
0.5%
27.11104626 3
 
0.5%
25.52141018 3
 
0.5%
23.13170491 3
 
0.5%
24.94590754 3
 
0.5%
Other values (519) 546
93.7%
ValueCountFrequency (%)
4.713072 1
0.2%
5.0484 2
0.3%
6.631056 1
0.2%
6.7627728 2
0.3%
7.818048 1
0.2%
ValueCountFrequency (%)
241.3216359 1
0.2%
232.9316922 1
0.2%
213.0518978 1
0.2%
209.0810507 1
0.2%
208.4677922 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.5202191
Minimum148.4266755
Maximum263.2258618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:54.685788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum148.4266755
5-th percentile163.2431213
Q1174.2166363
median188.878665
Q3207.0460457
95-th percentile228.8455576
Maximum263.2258618
Range114.7991863
Interquartile range (IQR)32.82940933

Descriptive statistics

Standard deviation21.51501243
Coefficient of variation (CV)0.1123380734
Kurtosis-0.03320830479
Mean191.5202191
Median Absolute Deviation (MAD)15.69787529
Skewness0.5604405279
Sum111656.2878
Variance462.8957599
MonotonicityNot monotonic
2023-02-02T09:28:55.203875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213.818733 3
 
0.5%
190.4369842 3
 
0.5%
197.196976 3
 
0.5%
200.4436548 3
 
0.5%
203.3348191 3
 
0.5%
197.6891247 2
 
0.3%
178.2833468 2
 
0.3%
176.7690242 2
 
0.3%
179.5579419 2
 
0.3%
196.4652842 2
 
0.3%
Other values (518) 558
95.7%
ValueCountFrequency (%)
148.4266755 1
0.2%
148.7669624 1
0.2%
150.6713624 2
0.3%
150.9549348 1
0.2%
152.2747102 1
0.2%
ValueCountFrequency (%)
263.2258618 1
0.2%
262.7868555 1
0.2%
259.9097893 1
0.2%
258.4093201 1
0.2%
254.2116923 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.819552
Minimum174.4217453
Maximum315.0515006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:56.085379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum174.4217453
5-th percentile203.3570659
Q1216.527399
median233.1339864
Q3252.4522416
95-th percentile276.502555
Maximum315.0515006
Range140.6297554
Interquartile range (IQR)35.92484263

Descriptive statistics

Standard deviation23.40860321
Coefficient of variation (CV)0.09926489563
Kurtosis-0.00626956785
Mean235.819552
Median Absolute Deviation (MAD)17.4057848
Skewness0.3960511717
Sum137482.7988
Variance547.9627044
MonotonicityNot monotonic
2023-02-02T09:28:56.758704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199.7996145 4
 
0.7%
213.6471656 3
 
0.5%
261.2603936 3
 
0.5%
212.3788879 3
 
0.5%
239.4179512 3
 
0.5%
240.9718493 3
 
0.5%
225.6753245 2
 
0.3%
244.4991968 2
 
0.3%
250.629802 2
 
0.3%
214.3937248 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
174.4217453 1
0.2%
176.8695777 1
0.2%
182.5295514 1
0.2%
184.5184153 2
0.3%
188.0714554 1
0.2%
ValueCountFrequency (%)
315.0515006 1
0.2%
314.0108588 1
0.2%
311.5816965 1
0.2%
301.7586186 1
0.2%
301.460187 1
0.2%
Distinct561
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.4973198
Minimum95.75428148
Maximum273.2932528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:57.799917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum95.75428148
5-th percentile142.0860195
Q1157.4972095
median170.6811024
Q3192.6619015
95-th percentile219.8537935
Maximum273.2932528
Range177.5389713
Interquartile range (IQR)35.16469194

Descriptive statistics

Standard deviation26.14120987
Coefficient of variation (CV)0.1489550376
Kurtosis0.961209953
Mean175.4973198
Median Absolute Deviation (MAD)16.72968705
Skewness0.6010653631
Sum102314.9374
Variance683.3628534
MonotonicityNot monotonic
2023-02-02T09:28:58.705642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175.2318219 2
 
0.3%
143.8188822 2
 
0.3%
146.4310607 2
 
0.3%
190.2276545 2
 
0.3%
157.9178058 2
 
0.3%
157.74641 2
 
0.3%
180.312517 2
 
0.3%
174.0222549 2
 
0.3%
164.0875377 2
 
0.3%
149.5451112 2
 
0.3%
Other values (551) 563
96.6%
ValueCountFrequency (%)
95.75428148 1
0.2%
107.0271384 1
0.2%
108.3106305 1
0.2%
108.5521049 1
0.2%
111.8379442 1
0.2%
ValueCountFrequency (%)
273.2932528 1
0.2%
273.1043848 1
0.2%
272.4786673 1
0.2%
270.3080225 1
0.2%
261.1806879 1
0.2%
Distinct520
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.1535462
Minimum54.33962817
Maximum246.3877245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:28:59.704100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum54.33962817
5-th percentile111.8126786
Q1124.6394192
median140.3823486
Q3161.8059422
95-th percentile192.750209
Maximum246.3877245
Range192.0480964
Interquartile range (IQR)37.16652293

Descriptive statistics

Standard deviation28.37349041
Coefficient of variation (CV)0.1968282512
Kurtosis1.102851784
Mean144.1535462
Median Absolute Deviation (MAD)17.59601555
Skewness0.3438739174
Sum84041.51744
Variance805.054958
MonotonicityNot monotonic
2023-02-02T09:29:00.649542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.8126786 5
 
0.9%
140.3823486 5
 
0.9%
144.9344912 4
 
0.7%
117.742008 4
 
0.7%
117.5205028 4
 
0.7%
118.6768367 3
 
0.5%
145.8257225 3
 
0.5%
132.0266345 3
 
0.5%
116.1248097 3
 
0.5%
133.0183737 3
 
0.5%
Other values (510) 546
93.7%
ValueCountFrequency (%)
54.33962817 2
0.3%
58.29305709 1
0.2%
58.96803508 1
0.2%
61.25812878 1
0.2%
70.13313625 2
0.3%
ValueCountFrequency (%)
246.3877245 1
0.2%
241.0776755 1
0.2%
238.4991229 1
0.2%
235.6009648 1
0.2%
233.4126667 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.384706589
Minimum7.013073051
Maximum11.25870569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:01.469177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.013073051
5-th percentile7.107273142
Q17.615658587
median8.270570319
Q39.06185216
95-th percentile9.953680947
Maximum11.25870569
Range4.245632635
Interquartile range (IQR)1.446193573

Descriptive statistics

Standard deviation0.9068679109
Coefficient of variation (CV)0.1081573817
Kurtosis-0.5826530436
Mean8.384706589
Median Absolute Deviation (MAD)0.7231914144
Skewness0.4326134772
Sum4888.283941
Variance0.8224094078
MonotonicityNot monotonic
2023-02-02T09:29:02.543777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.894674851 4
 
0.7%
9.345194368 3
 
0.5%
9.232257256 3
 
0.5%
9.024369864 3
 
0.5%
9.40024045 3
 
0.5%
7.032002976 2
 
0.3%
8.216747756 2
 
0.3%
7.478808862 2
 
0.3%
7.315342091 2
 
0.3%
7.593646156 2
 
0.3%
Other values (519) 557
95.5%
ValueCountFrequency (%)
7.013073051 1
0.2%
7.021602544 1
0.2%
7.024013422 1
0.2%
7.026265714 1
0.2%
7.027516988 1
0.2%
ValueCountFrequency (%)
11.25870569 1
0.2%
11.10616966 1
0.2%
10.88904075 1
0.2%
10.84861312 1
0.2%
10.82842137 1
0.2%
Distinct530
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.994989087
Minimum7.013079707
Maximum9.33425904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:03.342637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.013079707
5-th percentile7.334580568
Q17.617055857
median7.957740091
Q38.322258933
95-th percentile8.781376783
Maximum9.33425904
Range2.321179333
Interquartile range (IQR)0.7052030764

Descriptive statistics

Standard deviation0.4611077837
Coefficient of variation (CV)0.05767459826
Kurtosis-0.604928319
Mean7.994989087
Median Absolute Deviation (MAD)0.3523817049
Skewness0.3480591488
Sum4661.078638
Variance0.2126203882
MonotonicityNot monotonic
2023-02-02T09:29:03.895564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.353310435 4
 
0.7%
7.58203552 3
 
0.5%
8.302801156 3
 
0.5%
8.559065641 3
 
0.5%
7.684175158 3
 
0.5%
7.875290462 2
 
0.3%
8.219920125 2
 
0.3%
8.319367724 2
 
0.3%
7.543191093 2
 
0.3%
7.423614857 2
 
0.3%
Other values (520) 557
95.5%
ValueCountFrequency (%)
7.013079707 1
0.2%
7.168664966 1
0.2%
7.184081257 2
0.3%
7.191177043 1
0.2%
7.194985463 1
0.2%
ValueCountFrequency (%)
9.33425904 1
0.2%
9.304647 1
0.2%
9.262075152 1
0.2%
9.155998047 1
0.2%
9.153104769 1
0.2%
Distinct562
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.372315947
Minimum7.013822311
Maximum11.12434151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:04.439911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.013822311
5-th percentile7.246853134
Q17.670354058
median8.348024564
Q39.004273358
95-th percentile9.69333382
Maximum11.12434151
Range4.110519202
Interquartile range (IQR)1.3339193

Descriptive statistics

Standard deviation0.8071260221
Coefficient of variation (CV)0.09640415235
Kurtosis-0.6784087734
Mean8.372315947
Median Absolute Deviation (MAD)0.6656422984
Skewness0.3249374041
Sum4881.060197
Variance0.6514524156
MonotonicityNot monotonic
2023-02-02T09:29:04.926000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.800028909 2
 
0.3%
7.654575897 2
 
0.3%
7.19747741 2
 
0.3%
7.316282667 2
 
0.3%
7.70188878 2
 
0.3%
9.924375636 2
 
0.3%
8.186877235 2
 
0.3%
7.788051565 2
 
0.3%
7.251598933 2
 
0.3%
7.224643579 2
 
0.3%
Other values (552) 563
96.6%
ValueCountFrequency (%)
7.013822311 1
0.2%
7.020557458 1
0.2%
7.026500235 1
0.2%
7.031782704 1
0.2%
7.036509123 1
0.2%
ValueCountFrequency (%)
11.12434151 1
0.2%
10.70654986 1
0.2%
10.53377001 1
0.2%
10.3864449 1
0.2%
10.27331683 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.957269624
Minimum6.85152
Maximum11.17962076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:05.413887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.85152
5-th percentile7.052383441
Q17.220749763
median7.550704239
Q38.615527667
95-th percentile9.867419472
Maximum11.17962076
Range4.328100764
Interquartile range (IQR)1.394777905

Descriptive statistics

Standard deviation0.9403267381
Coefficient of variation (CV)0.1181720342
Kurtosis0.4105554394
Mean7.957269624
Median Absolute Deviation (MAD)0.4574073499
Skewness1.092346779
Sum4639.088191
Variance0.8842143743
MonotonicityNot monotonic
2023-02-02T09:29:05.892964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.340121556 4
 
0.7%
7.369748083 4
 
0.7%
7.072079733 4
 
0.7%
7.284243879 3
 
0.5%
7.066061531 3
 
0.5%
7.249491 3
 
0.5%
7.081618222 2
 
0.3%
7.137119556 2
 
0.3%
7.075615926 2
 
0.3%
7.068815556 2
 
0.3%
Other values (534) 554
95.0%
ValueCountFrequency (%)
6.85152 1
0.2%
6.963618 1
0.2%
6.968109 1
0.2%
6.969118963 1
0.2%
6.970249722 1
0.2%
ValueCountFrequency (%)
11.17962076 1
0.2%
11.17306919 1
0.2%
10.95205781 1
0.2%
10.94127461 1
0.2%
10.92181195 1
0.2%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.962329048
Minimum5.401252564
Maximum10.32693529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:06.400820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.401252564
5-th percentile5.498295833
Q16.08829299
median6.800734
Q37.784632051
95-th percentile8.764029251
Maximum10.32693529
Range4.92568273
Interquartile range (IQR)1.696339062

Descriptive statistics

Standard deviation1.042720891
Coefficient of variation (CV)0.1497661033
Kurtosis-0.5048149994
Mean6.962329048
Median Absolute Deviation (MAD)0.8103837778
Skewness0.4803904971
Sum4059.037835
Variance1.087266857
MonotonicityNot monotonic
2023-02-02T09:29:06.903665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.493197872 4
 
0.7%
7.863986047 3
 
0.5%
8.025985 3
 
0.5%
7.990336842 3
 
0.5%
7.66367037 2
 
0.3%
7.542589796 2
 
0.3%
5.868993103 2
 
0.3%
6.686956667 2
 
0.3%
5.888030769 2
 
0.3%
6.800734 2
 
0.3%
Other values (522) 558
95.7%
ValueCountFrequency (%)
5.401252564 1
0.2%
5.409751754 1
0.2%
5.414588506 1
0.2%
5.415317857 2
0.3%
5.416101235 1
0.2%
ValueCountFrequency (%)
10.32693529 1
0.2%
10.16171818 1
0.2%
9.992647727 1
0.2%
9.784883333 1
0.2%
9.784588235 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.668956933
Minimum5.677509756
Maximum8.178746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:07.810230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.677509756
5-th percentile5.980730769
Q16.276858553
median6.618121053
Q37.011328202
95-th percentile7.492256053
Maximum8.178746
Range2.501236244
Interquartile range (IQR)0.7344696493

Descriptive statistics

Standard deviation0.4792074564
Coefficient of variation (CV)0.0718564329
Kurtosis-0.5134653782
Mean6.668956933
Median Absolute Deviation (MAD)0.3566936554
Skewness0.3892264992
Sum3888.001892
Variance0.2296397862
MonotonicityNot monotonic
2023-02-02T09:29:08.558646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.990282609 4
 
0.7%
6.937326667 4
 
0.7%
6.380368421 3
 
0.5%
6.26688 3
 
0.5%
7.010885714 3
 
0.5%
6.585423077 2
 
0.3%
6.181827692 2
 
0.3%
6.740941935 2
 
0.3%
6.986244828 2
 
0.3%
6.8928 2
 
0.3%
Other values (518) 556
95.4%
ValueCountFrequency (%)
5.677509756 1
0.2%
5.801804348 1
0.2%
5.80827551 1
0.2%
5.814 1
0.2%
5.8191 1
0.2%
ValueCountFrequency (%)
8.178746 1
0.2%
8.013657576 1
0.2%
8.012153488 1
0.2%
7.944608333 1
0.2%
7.938898077 1
0.2%
Distinct565
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.977600561
Minimum5.469244444
Maximum10.20939459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:09.035199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.469244444
5-th percentile5.727988889
Q16.220768718
median6.934966667
Q37.672397778
95-th percentile8.499919167
Maximum10.20939459
Range4.74015015
Interquartile range (IQR)1.45162906

Descriptive statistics

Standard deviation0.9059857233
Coefficient of variation (CV)0.1298420159
Kurtosis-0.5595744061
Mean6.977600561
Median Absolute Deviation (MAD)0.7272515152
Skewness0.398429992
Sum4067.941127
Variance0.8208101308
MonotonicityNot monotonic
2023-02-02T09:29:09.547609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.370072727 2
 
0.3%
6.207715152 2
 
0.3%
5.727988889 2
 
0.3%
6.693458993 2
 
0.3%
5.533713333 2
 
0.3%
6.752204082 2
 
0.3%
6.971089431 2
 
0.3%
7.666617778 2
 
0.3%
5.709596491 2
 
0.3%
6.280578261 2
 
0.3%
Other values (555) 563
96.6%
ValueCountFrequency (%)
5.469244444 1
0.2%
5.479317708 1
0.2%
5.488205882 1
0.2%
5.496106481 1
0.2%
5.503175439 1
0.2%
ValueCountFrequency (%)
10.20939459 1
0.2%
9.740990698 1
0.2%
9.479534783 1
0.2%
9.242922034 1
0.2%
9.221366667 1
0.2%
Distinct541
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.477132523
Minimum5.096666667
Maximum10.28387222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:10.019073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.096666667
5-th percentile5.436370317
Q15.661428788
median6.027571429
Q37.197037899
95-th percentile8.632390123
Maximum10.28387222
Range5.187205556
Interquartile range (IQR)1.535609111

Descriptive statistics

Standard deviation1.066783596
Coefficient of variation (CV)0.1646999799
Kurtosis0.6009105457
Mean6.477132523
Median Absolute Deviation (MAD)0.5009369256
Skewness1.13870078
Sum3776.168261
Variance1.138027242
MonotonicityNot monotonic
2023-02-02T09:29:10.534902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6786875 5
 
0.9%
5.828166667 5
 
0.9%
5.87184375 4
 
0.7%
5.470496914 3
 
0.5%
5.470731111 3
 
0.5%
5.739733333 3
 
0.5%
5.677601852 3
 
0.5%
5.695378788 3
 
0.5%
5.835746914 2
 
0.3%
5.496677778 2
 
0.3%
Other values (531) 550
94.3%
ValueCountFrequency (%)
5.096666667 1
0.2%
5.276333333 1
0.2%
5.276333333 1
0.2%
5.312888889 1
0.2%
5.312888889 1
0.2%
ValueCountFrequency (%)
10.28387222 1
0.2%
10.19231091 1
0.2%
10.01168421 1
0.2%
9.927998413 1
0.2%
9.913754464 1
0.2%
Distinct536
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.990734108
Minimum5.3004
Maximum10.64327059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:11.254650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.3004
5-th percentile5.393241375
Q16.014145513
median6.8391
Q37.894327971
95-th percentile8.946378859
Maximum10.64327059
Range5.342870588
Interquartile range (IQR)1.880182458

Descriptive statistics

Standard deviation1.140856159
Coefficient of variation (CV)0.163195473
Kurtosis-0.5248569873
Mean6.990734108
Median Absolute Deviation (MAD)0.8932918919
Skewness0.4641843772
Sum4075.597985
Variance1.301552777
MonotonicityNot monotonic
2023-02-02T09:29:11.831791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.571212766 3
 
0.5%
7.725386364 3
 
0.5%
8.106763158 3
 
0.5%
8.163925 3
 
0.5%
7.610855102 2
 
0.3%
5.52287027 2
 
0.3%
5.307053571 2
 
0.3%
8.09065 2
 
0.3%
5.751855172 2
 
0.3%
7.964813953 2
 
0.3%
Other values (526) 559
95.9%
ValueCountFrequency (%)
5.3004 1
0.2%
5.30484375 1
0.2%
5.305147059 1
0.2%
5.305416667 1
0.2%
5.305657895 1
0.2%
ValueCountFrequency (%)
10.64327059 1
0.2%
10.48405682 1
0.2%
10.31621364 1
0.2%
10.06661111 1
0.2%
10.04101316 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.539841206
Minimum5.450273171
Maximum8.09633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:12.613007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.450273171
5-th percentile5.840384615
Q16.140058857
median6.495757576
Q36.904349275
95-th percentile7.41042379
Maximum8.09633
Range2.646056829
Interquartile range (IQR)0.7642904182

Descriptive statistics

Standard deviation0.4940637456
Coefficient of variation (CV)0.07554674953
Kurtosis-0.4805993982
Mean6.539841206
Median Absolute Deviation (MAD)0.3811224242
Skewness0.3711988828
Sum3812.727423
Variance0.2440989847
MonotonicityNot monotonic
2023-02-02T09:29:13.212805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.852173913 4
 
0.7%
6.870038095 3
 
0.5%
6.795368889 3
 
0.5%
6.265789474 3
 
0.5%
6.142 3
 
0.5%
6.573382353 2
 
0.3%
6.737965517 2
 
0.3%
7.12476 2
 
0.3%
5.949605263 2
 
0.3%
6.054061538 2
 
0.3%
Other values (519) 557
95.5%
ValueCountFrequency (%)
5.450273171 1
0.2%
5.632608696 1
0.2%
5.639795918 1
0.2%
5.646153846 1
0.2%
5.651818182 1
0.2%
ValueCountFrequency (%)
8.09633 1
0.2%
7.989 1
0.2%
7.937860465 1
0.2%
7.900624242 1
0.2%
7.8508 1
0.2%
Distinct565
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.973165762
Minimum5.337066667
Maximum10.57359189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:13.742555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.337066667
5-th percentile5.643
Q16.154904708
median6.9255
Q37.722754519
95-th percentile8.640512271
Maximum10.57359189
Range5.236525225
Interquartile range (IQR)1.567849811

Descriptive statistics

Standard deviation0.9768769959
Coefficient of variation (CV)0.1400908897
Kurtosis-0.5096477791
Mean6.973165762
Median Absolute Deviation (MAD)0.7777684932
Skewness0.4018838026
Sum4065.355639
Variance0.9542886651
MonotonicityNot monotonic
2023-02-02T09:29:14.495629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.321495455 2
 
0.3%
6.155027273 2
 
0.3%
5.6468 2
 
0.3%
5.631294118 2
 
0.3%
5.416148148 2
 
0.3%
7.701286667 2
 
0.3%
5.617631579 2
 
0.3%
6.218578261 2
 
0.3%
6.729603704 2
 
0.3%
9.05638 2
 
0.3%
Other values (555) 563
96.6%
ValueCountFrequency (%)
5.337066667 1
0.2%
5.3481875 1
0.2%
5.358 1
0.2%
5.366722222 1
0.2%
5.374526316 1
0.2%
ValueCountFrequency (%)
10.57359189 1
0.2%
10.04467209 1
0.2%
9.618841304 1
0.2%
9.48470625 1
0.2%
9.358832143 1
0.2%
Distinct540
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.459858332
Minimum5.06
Maximum10.56411111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:15.377542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.06
5-th percentile5.370204545
Q15.570982394
median5.943525
Q37.225676935
95-th percentile8.783954878
Maximum10.56411111
Range5.504111111
Interquartile range (IQR)1.65469454

Descriptive statistics

Standard deviation1.146658979
Coefficient of variation (CV)0.1775052827
Kurtosis0.6259995491
Mean6.459858332
Median Absolute Deviation (MAD)0.5047847403
Skewness1.15317903
Sum3766.097407
Variance1.314826815
MonotonicityNot monotonic
2023-02-02T09:29:15.915463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.613625 5
 
0.9%
5.792375 4
 
0.7%
5.642090909 3
 
0.5%
5.6618 3
 
0.5%
5.75 3
 
0.5%
6.368689655 3
 
0.5%
5.482811765 3
 
0.5%
5.531444444 2
 
0.3%
6.846428571 2
 
0.3%
5.45675 2
 
0.3%
Other values (530) 553
94.9%
ValueCountFrequency (%)
5.06 1
0.2%
5.254969697 1
0.2%
5.260380952 1
0.2%
5.261377778 1
0.2%
5.263166667 1
0.2%
ValueCountFrequency (%)
10.56411111 1
0.2%
10.45972727 1
0.2%
10.26836842 1
0.2%
10.20880952 1
0.2%
10.19708929 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.396526135
Minimum0.8989543493
Maximum3.720572581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:16.551644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.8989543493
5-th percentile1.13148085
Q11.26854026
median1.354693374
Q31.45574163
95-th percentile1.722062045
Maximum3.720572581
Range2.821618232
Interquartile range (IQR)0.1872013704

Descriptive statistics

Standard deviation0.2739849064
Coefficient of variation (CV)0.1961903179
Kurtosis30.57397391
Mean1.396526135
Median Absolute Deviation (MAD)0.09210215124
Skewness4.609484731
Sum814.1747366
Variance0.07506772894
MonotonicityNot monotonic
2023-02-02T09:29:17.021213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.373990184 3
 
0.5%
1.400222007 3
 
0.5%
1.486062589 3
 
0.5%
1.413285512 3
 
0.5%
1.364546679 3
 
0.5%
1.397350434 3
 
0.5%
1.075737549 2
 
0.3%
1.543831629 2
 
0.3%
1.326869072 2
 
0.3%
1.370150849 2
 
0.3%
Other values (518) 557
95.5%
ValueCountFrequency (%)
0.8989543493 1
0.2%
0.9534689471 1
0.2%
0.959777466 1
0.2%
0.9909749429 1
0.2%
0.9945887749 1
0.2%
ValueCountFrequency (%)
3.720572581 1
0.2%
3.618881687 1
0.2%
3.230853619 2
0.3%
3.229412454 1
0.2%
3.221666452 1
0.2%
Distinct524
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.67912945
Minimum1.156972188
Maximum4.093741296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:17.587092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.156972188
5-th percentile1.419958716
Q11.555230586
median1.633520643
Q31.739067408
95-th percentile1.999337016
Maximum4.093741296
Range2.936769107
Interquartile range (IQR)0.1838368225

Descriptive statistics

Standard deviation0.2783918914
Coefficient of variation (CV)0.1657953718
Kurtosis33.58331389
Mean1.67912945
Median Absolute Deviation (MAD)0.08791071635
Skewness4.830068474
Sum978.9324692
Variance0.0775020452
MonotonicityNot monotonic
2023-02-02T09:29:18.169254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.540661259 4
 
0.7%
1.70535144 4
 
0.7%
1.790541145 3
 
0.5%
1.555230586 3
 
0.5%
1.518357232 3
 
0.5%
1.707733957 3
 
0.5%
1.768313969 2
 
0.3%
1.655268497 2
 
0.3%
1.772055264 2
 
0.3%
1.61242191 2
 
0.3%
Other values (514) 555
95.2%
ValueCountFrequency (%)
1.156972188 1
0.2%
1.181665101 1
0.2%
1.23841634 1
0.2%
1.241760537 1
0.2%
1.245097135 1
0.2%
ValueCountFrequency (%)
4.093741296 1
0.2%
3.832382061 1
0.2%
3.797142733 1
0.2%
3.678584995 2
0.3%
3.385405678 1
0.2%
Distinct559
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.226987008
Minimum0.6924039739
Maximum2.265456056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:18.766034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.6924039739
5-th percentile0.9941567782
Q11.135787592
median1.206774065
Q31.280597141
95-th percentile1.5176949
Maximum2.265456056
Range1.573052082
Interquartile range (IQR)0.1448095493

Descriptive statistics

Standard deviation0.1754502478
Coefficient of variation (CV)0.1429927511
Kurtosis5.86829572
Mean1.226987008
Median Absolute Deviation (MAD)0.07301350885
Skewness1.543175062
Sum715.3334254
Variance0.03078278946
MonotonicityNot monotonic
2023-02-02T09:29:19.421532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.276157562 2
 
0.3%
1.249569551 2
 
0.3%
1.218106433 2
 
0.3%
1.275960986 2
 
0.3%
1.267093039 2
 
0.3%
1.223186238 2
 
0.3%
1.057352634 2
 
0.3%
1.219915692 2
 
0.3%
1.246811974 2
 
0.3%
1.243529144 2
 
0.3%
Other values (549) 563
96.6%
ValueCountFrequency (%)
0.6924039739 1
0.2%
0.8113013993 1
0.2%
0.8216286388 1
0.2%
0.8447005246 1
0.2%
0.8637387059 1
0.2%
ValueCountFrequency (%)
2.265456056 1
0.2%
2.161643998 1
0.2%
2.043839169 1
0.2%
2.011200684 1
0.2%
1.972434543 1
0.2%
Distinct524
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.094570415
Minimum0.5868755252
Maximum2.036263404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:20.068351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5868755252
5-th percentile0.8779710149
Q11.02380011
median1.074830376
Q31.155409955
95-th percentile1.35146306
Maximum2.036263404
Range1.449387879
Interquartile range (IQR)0.1316098456

Descriptive statistics

Standard deviation0.1522989843
Coefficient of variation (CV)0.1391404172
Kurtosis5.513775152
Mean1.094570415
Median Absolute Deviation (MAD)0.06335538552
Skewness0.8990371153
Sum638.1345522
Variance0.02319498062
MonotonicityNot monotonic
2023-02-02T09:29:20.860057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.15702915 5
 
0.9%
1.025524086 4
 
0.7%
1.033226083 4
 
0.7%
1.175414862 4
 
0.7%
1.098147076 3
 
0.5%
1.037080332 3
 
0.5%
1.094894058 3
 
0.5%
0.9956911356 3
 
0.5%
1.170442262 3
 
0.5%
1.099331109 3
 
0.5%
Other values (514) 548
94.0%
ValueCountFrequency (%)
0.5868755252 1
0.2%
0.5943194593 1
0.2%
0.6042447049 2
0.3%
0.6668602896 1
0.2%
0.6675900399 1
0.2%
ValueCountFrequency (%)
2.036263404 1
0.2%
1.878351633 1
0.2%
1.720891138 1
0.2%
1.67671465 1
0.2%
1.639284761 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.8583618
Minimum152.5988626
Maximum217.0920117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:21.925982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum152.5988626
5-th percentile164.0080797
Q1168.9392853
median176.9555327
Q3187.1182098
95-th percentile197.7555491
Maximum217.0920117
Range64.49314907
Interquartile range (IQR)18.17892452

Descriptive statistics

Standard deviation11.3313714
Coefficient of variation (CV)0.06335388116
Kurtosis-0.2742573499
Mean178.8583618
Median Absolute Deviation (MAD)8.64580744
Skewness0.546197309
Sum104274.4249
Variance128.3999777
MonotonicityNot monotonic
2023-02-02T09:29:22.592032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184.3232958 4
 
0.7%
186.3304262 3
 
0.5%
185.6321215 3
 
0.5%
188.7712085 3
 
0.5%
187.1387891 3
 
0.5%
167.7552312 2
 
0.3%
191.3350254 2
 
0.3%
191.9341932 2
 
0.3%
168.6189411 2
 
0.3%
184.880156 2
 
0.3%
Other values (519) 557
95.5%
ValueCountFrequency (%)
152.5988626 1
0.2%
156.0741225 1
0.2%
159.9439124 1
0.2%
160.0684903 1
0.2%
160.5391929 1
0.2%
ValueCountFrequency (%)
217.0920117 1
0.2%
213.77386 1
0.2%
213.3634459 1
0.2%
210.2846319 1
0.2%
208.9485286 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.2870532
Minimum137.0385125
Maximum173.1357728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:23.248068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum137.0385125
5-th percentile144.3512372
Q1148.5274634
median151.887062
Q3155.6193764
95-th percentile160.6389284
Maximum173.1357728
Range36.09726026
Interquartile range (IQR)7.091913002

Descriptive statistics

Standard deviation5.130002517
Coefficient of variation (CV)0.03368639953
Kurtosis0.6226412536
Mean152.2870532
Median Absolute Deviation (MAD)3.545613563
Skewness0.3997851273
Sum88783.35202
Variance26.31692582
MonotonicityNot monotonic
2023-02-02T09:29:23.842040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154.0713308 4
 
0.7%
148.3151824 4
 
0.7%
154.7659627 3
 
0.5%
151.4386239 3
 
0.5%
153.6782471 3
 
0.5%
155.4326756 3
 
0.5%
147.0882767 2
 
0.3%
158.1552171 2
 
0.3%
149.5885745 2
 
0.3%
145.4471151 2
 
0.3%
Other values (516) 555
95.2%
ValueCountFrequency (%)
137.0385125 1
0.2%
137.1692317 1
0.2%
139.2034224 1
0.2%
140.4509388 1
0.2%
140.4855481 1
0.2%
ValueCountFrequency (%)
173.1357728 1
0.2%
172.5205472 1
0.2%
167.3304835 1
0.2%
167.2379103 1
0.2%
166.1951273 1
0.2%
Distinct561
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.713895
Minimum139.4025486
Maximum224.4026255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:24.488039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum139.4025486
5-th percentile156.2116497
Q1163.9668176
median171.9535565
Q3180.2742658
95-th percentile191.9421903
Maximum224.4026255
Range85.00007689
Interquartile range (IQR)16.30744818

Descriptive statistics

Standard deviation11.46095783
Coefficient of variation (CV)0.06635805318
Kurtosis0.8087975869
Mean172.713895
Median Absolute Deviation (MAD)8.123898393
Skewness0.6155185452
Sum100692.2008
Variance131.3535544
MonotonicityNot monotonic
2023-02-02T09:29:25.052393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170.4358067 2
 
0.3%
164.7066852 2
 
0.3%
158.519867 2
 
0.3%
167.5164141 2
 
0.3%
159.678008 2
 
0.3%
165.5950187 2
 
0.3%
202.8960777 2
 
0.3%
168.1702816 2
 
0.3%
163.7785995 2
 
0.3%
162.9990076 2
 
0.3%
Other values (551) 563
96.6%
ValueCountFrequency (%)
139.4025486 1
0.2%
144.1898593 1
0.2%
153.0159438 1
0.2%
153.3125719 1
0.2%
153.9109704 1
0.2%
ValueCountFrequency (%)
224.4026255 1
0.2%
216.5320901 1
0.2%
211.6946281 1
0.2%
210.0366105 1
0.2%
207.2581149 1
0.2%
Distinct522
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.7384611
Minimum145.6821168
Maximum215.9843557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:25.781661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum145.6821168
5-th percentile157.8892379
Q1163.1530527
median165.9781294
Q3177.0284381
95-th percentile191.7399527
Maximum215.9843557
Range70.30223892
Interquartile range (IQR)13.87538542

Descriptive statistics

Standard deviation11.38429722
Coefficient of variation (CV)0.06667681756
Kurtosis1.204687789
Mean170.7384611
Median Absolute Deviation (MAD)5.355929762
Skewness1.132833574
Sum99540.52282
Variance129.6022232
MonotonicityNot monotonic
2023-02-02T09:29:26.595028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.9781294 5
 
0.9%
163.148032 5
 
0.9%
164.9680436 4
 
0.7%
162.7844142 4
 
0.7%
168.7222404 3
 
0.5%
163.9801139 3
 
0.5%
164.0188069 3
 
0.5%
163.2139932 3
 
0.5%
165.0686478 3
 
0.5%
161.2127839 3
 
0.5%
Other values (512) 547
93.8%
ValueCountFrequency (%)
145.6821168 1
0.2%
150.7142356 1
0.2%
150.8513316 1
0.2%
151.2397065 1
0.2%
151.7364686 1
0.2%
ValueCountFrequency (%)
215.9843557 1
0.2%
213.7981492 1
0.2%
210.4732785 1
0.2%
209.5094115 1
0.2%
208.861094 1
0.2%
Distinct558
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.9322337
Minimum23.43037611
Maximum957.261745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:28.259904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum23.43037611
5-th percentile48.77203678
Q1137.5342593
median220.344086
Q3304.8777778
95-th percentile403.9706304
Maximum957.261745
Range933.8313689
Interquartile range (IQR)167.3435185

Descriptive statistics

Standard deviation123.2361259
Coefficient of variation (CV)0.5478811278
Kurtosis3.22610257
Mean224.9322337
Median Absolute Deviation (MAD)84.00679117
Skewness0.9809983526
Sum131135.4922
Variance15187.14272
MonotonicityNot monotonic
2023-02-02T09:29:30.110237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336.9503546 3
 
0.5%
193.8353909 2
 
0.3%
215.1178451 2
 
0.3%
300.974359 2
 
0.3%
397.9166667 2
 
0.3%
150.4021164 2
 
0.3%
288 2
 
0.3%
142.654321 2
 
0.3%
304.3508772 2
 
0.3%
244.9234568 2
 
0.3%
Other values (548) 562
96.4%
ValueCountFrequency (%)
23.43037611 1
0.2%
24.73489977 1
0.2%
30.20887554 1
0.2%
30.20887554 1
0.2%
31.61728395 1
0.2%
ValueCountFrequency (%)
957.261745 1
0.2%
811.1186441 1
0.2%
795.2307692 1
0.2%
698.76 1
0.2%
676.556701 1
0.2%
Distinct575
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.98829044
Minimum-43.60219316
Maximum301.9293726
Zeros0
Zeros (%)0.0%
Negative108
Negative (%)18.5%
Memory size4.7 KiB
2023-02-02T09:29:31.656036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-43.60219316
5-th percentile-26.94599737
Q110.26968935
median32.74486914
Q356.71053536
95-th percentile104.2623119
Maximum301.9293726
Range345.5315657
Interquartile range (IQR)46.44084601

Descriptive statistics

Standard deviation40.46297075
Coefficient of variation (CV)1.156471786
Kurtosis3.91016855
Mean34.98829044
Median Absolute Deviation (MAD)23.01984682
Skewness0.9874049097
Sum20398.17333
Variance1637.252002
MonotonicityNot monotonic
2023-02-02T09:29:33.377621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.15028197 2
 
0.3%
5.348198539 2
 
0.3%
-29.9382716 2
 
0.3%
23.28303234 2
 
0.3%
-26.15327793 2
 
0.3%
66.54729109 2
 
0.3%
14.04617258 2
 
0.3%
27.95879287 2
 
0.3%
-23.47260802 1
 
0.2%
21.77777778 1
 
0.2%
Other values (565) 565
96.9%
ValueCountFrequency (%)
-43.60219316 1
0.2%
-42.57474301 1
0.2%
-37.59815892 1
0.2%
-37.47888889 1
0.2%
-36.3542524 1
0.2%
ValueCountFrequency (%)
301.9293726 1
0.2%
220.5647802 1
0.2%
205.6094675 1
0.2%
170.6972 1
0.2%
160.6941226 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.6182361
Minimum-83.45919391
Maximum933.4509256
Zeros0
Zeros (%)0.0%
Negative73
Negative (%)12.5%
Memory size4.7 KiB
2023-02-02T09:29:34.923578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-83.45919391
5-th percentile-16.45109499
Q161.66169992
median165.8563265
Q3275.2425785
95-th percentile439.0350022
Maximum933.4509256
Range1016.91012
Interquartile range (IQR)213.5808786

Descriptive statistics

Standard deviation143.7585139
Coefficient of variation (CV)0.8280150584
Kurtosis0.8859316207
Mean173.6182361
Median Absolute Deviation (MAD)108.1294386
Skewness0.7324525773
Sum101219.4316
Variance20666.51031
MonotonicityNot monotonic
2023-02-02T09:29:36.487734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.0027435 2
 
0.3%
176.137741 2
 
0.3%
294.308642 2
 
0.3%
134.9176615 2
 
0.3%
160.1303704 2
 
0.3%
85.7815034 2
 
0.3%
239.863594 1
 
0.2%
318.4959698 1
 
0.2%
276.2979729 1
 
0.2%
261.8422497 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-83.45919391 1
0.2%
-41.62654404 1
0.2%
-34.8614277 1
0.2%
-30.62773927 1
0.2%
-30.41428132 1
0.2%
ValueCountFrequency (%)
933.4509256 1
0.2%
701.0594657 1
0.2%
698.8560158 1
0.2%
540.0092 1
0.2%
511.7221032 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.0781115
Minimum-132.6879287
Maximum1004.986226
Zeros0
Zeros (%)0.0%
Negative174
Negative (%)29.8%
Memory size4.7 KiB
2023-02-02T09:29:38.114519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-132.6879287
5-th percentile-45.69143711
Q1-7.388007346
median36.65277778
Q3322.3741083
95-th percentile590.2250972
Maximum1004.986226
Range1137.674155
Interquartile range (IQR)329.7621157

Descriptive statistics

Standard deviation225.9959123
Coefficient of variation (CV)1.377367829
Kurtosis0.4472838576
Mean164.0781115
Median Absolute Deviation (MAD)75.03433413
Skewness1.099438717
Sum95657.53902
Variance51074.15238
MonotonicityNot monotonic
2023-02-02T09:29:39.216910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.481481481 2
 
0.3%
11.09641873 2
 
0.3%
253.0869136 2
 
0.3%
155.6694102 2
 
0.3%
211.3911846 2
 
0.3%
29.37557392 1
 
0.2%
28.49997485 1
 
0.2%
10.23162845 1
 
0.2%
319.1901235 1
 
0.2%
402.4991891 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-132.6879287 1
0.2%
-124.6694102 1
0.2%
-119.4205647 1
0.2%
-96.66798159 1
0.2%
-79.15451389 1
0.2%
ValueCountFrequency (%)
1004.986226 1
0.2%
990.5932085 1
0.2%
961.7211387 1
0.2%
854.4089805 1
0.2%
829.307055 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.846705
Minimum-138.2471655
Maximum1309.504536
Zeros0
Zeros (%)0.0%
Negative118
Negative (%)20.2%
Memory size4.7 KiB
2023-02-02T09:29:40.676786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-138.2471655
5-th percentile-49.85617688
Q13.443877551
median51.73133681
Q3208.2355734
95-th percentile635.8708678
Maximum1309.504536
Range1447.751702
Interquartile range (IQR)204.7916959

Descriptive statistics

Standard deviation216.5961629
Coefficient of variation (CV)1.582764911
Kurtosis5.167191765
Mean136.846705
Median Absolute Deviation (MAD)59.85530375
Skewness2.103743579
Sum79781.62902
Variance46913.89778
MonotonicityNot monotonic
2023-02-02T09:29:41.546224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.51928669 2
 
0.3%
23.15886134 2
 
0.3%
42.13519281 2
 
0.3%
51.19120498 2
 
0.3%
38 2
 
0.3%
45.50617284 2
 
0.3%
264.9939809 1
 
0.2%
273.9442345 1
 
0.2%
200.7239506 1
 
0.2%
226.341284 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-138.2471655 1
0.2%
-109.4299517 1
0.2%
-107.2177275 1
0.2%
-96.24311491 1
0.2%
-87.50740741 1
0.2%
ValueCountFrequency (%)
1309.504536 1
0.2%
1261.434635 1
0.2%
1094.173231 1
0.2%
1038.519613 1
0.2%
1030.489712 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.7649873
Minimum-154.8268888
Maximum1208.556213
Zeros10
Zeros (%)1.7%
Negative124
Negative (%)21.3%
Memory size4.7 KiB
2023-02-02T09:29:42.630744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-154.8268888
5-th percentile-33.94564239
Q12.120055153
median51.02746229
Q3283.2025574
95-th percentile610.2860266
Maximum1208.556213
Range1363.383102
Interquartile range (IQR)281.0825022

Descriptive statistics

Standard deviation228.1703907
Coefficient of variation (CV)1.428162669
Kurtosis2.005618966
Mean159.7649873
Median Absolute Deviation (MAD)59.62817643
Skewness1.515684193
Sum93142.9876
Variance52061.72718
MonotonicityNot monotonic
2023-02-02T09:29:43.525453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
55.62962963 2
 
0.3%
68.30681299 2
 
0.3%
60.43127572 2
 
0.3%
35.95163759 2
 
0.3%
33.5785124 2
 
0.3%
147.1033846 1
 
0.2%
436.8890123 1
 
0.2%
140.5760637 1
 
0.2%
134.9517295 1
 
0.2%
Other values (559) 559
95.9%
ValueCountFrequency (%)
-154.8268888 1
0.2%
-145.8334694 1
0.2%
-103.0743802 1
0.2%
-95.81432472 1
0.2%
-92 1
0.2%
ValueCountFrequency (%)
1208.556213 1
0.2%
1120.972208 1
0.2%
1076.008705 1
0.2%
1071.085873 1
0.2%
944.4370476 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.9984712
Minimum-116.0392699
Maximum1795.139138
Zeros32
Zeros (%)5.5%
Negative81
Negative (%)13.9%
Memory size4.7 KiB
2023-02-02T09:29:44.355633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-116.0392699
5-th percentile-21.9563392
Q13.913445442
median48
Q3215.9603581
95-th percentile462.0060006
Maximum1795.139138
Range1911.178408
Interquartile range (IQR)212.0469127

Descriptive statistics

Standard deviation193.8686896
Coefficient of variation (CV)1.50287587
Kurtosis12.52620154
Mean128.9984712
Median Absolute Deviation (MAD)48
Skewness2.652860203
Sum75206.10872
Variance37585.06882
MonotonicityNot monotonic
2023-02-02T09:29:45.008568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
35.22589532 2
 
0.3%
348.700831 2
 
0.3%
80.72839506 2
 
0.3%
76.63465935 2
 
0.3%
48 2
 
0.3%
40.40740741 2
 
0.3%
59.07292181 2
 
0.3%
-13.61954854 1
 
0.2%
31.36 1
 
0.2%
Other values (535) 535
91.8%
ValueCountFrequency (%)
-116.0392699 1
0.2%
-108.3100189 1
0.2%
-89.16528926 1
0.2%
-77.62591892 1
0.2%
-76 1
0.2%
ValueCountFrequency (%)
1795.139138 1
0.2%
1185.16547 1
0.2%
1162.311637 1
0.2%
938.3767313 1
0.2%
824.2812 1
0.2%
Distinct467
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.85129066
Minimum-183.0046296
Maximum1028.025044
Zeros109
Zeros (%)18.7%
Negative101
Negative (%)17.3%
Memory size4.7 KiB
2023-02-02T09:29:45.639047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-183.0046296
5-th percentile-21.44217359
Q10
median24.26666667
Q378.40200649
95-th percentile210.3134117
Maximum1028.025044
Range1211.029674
Interquartile range (IQR)78.40200649

Descriptive statistics

Standard deviation95.96380182
Coefficient of variation (CV)1.749526778
Kurtosis23.06175029
Mean54.85129066
Median Absolute Deviation (MAD)26.90849809
Skewness3.533302311
Sum31978.30246
Variance9209.051261
MonotonicityNot monotonic
2023-02-02T09:29:46.247463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
32.24242424 2
 
0.3%
51 2
 
0.3%
48.33240997 2
 
0.3%
48.54650206 2
 
0.3%
50.64197531 2
 
0.3%
54.8696845 2
 
0.3%
56.28741965 2
 
0.3%
64 2
 
0.3%
45.73024496 1
 
0.2%
Other values (457) 457
78.4%
ValueCountFrequency (%)
-183.0046296 1
0.2%
-106.1504929 1
0.2%
-69.66666667 1
0.2%
-61.45738818 1
0.2%
-60.52154195 1
0.2%
ValueCountFrequency (%)
1028.025044 1
0.2%
615.2219161 1
0.2%
544.728647 1
0.2%
496.1173907 1
0.2%
492.598338 1
0.2%
Distinct385
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.23408025
Minimum-966.5478797
Maximum483.2503826
Zeros193
Zeros (%)33.1%
Negative69
Negative (%)11.8%
Memory size4.7 KiB
2023-02-02T09:29:46.887103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-966.5478797
5-th percentile-11.14572857
Q10
median8.734693878
Q352.63725321
95-th percentile168.0287528
Maximum483.2503826
Range1449.798262
Interquartile range (IQR)52.63725321

Descriptive statistics

Standard deviation94.96554413
Coefficient of variation (CV)2.946122346
Kurtosis44.48866407
Mean32.23408025
Median Absolute Deviation (MAD)13.15879725
Skewness-3.308857876
Sum18792.46878
Variance9018.454572
MonotonicityNot monotonic
2023-02-02T09:29:47.476857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
72 2
 
0.3%
29.25895317 2
 
0.3%
35.0200823 2
 
0.3%
55.93633303 2
 
0.3%
18.0617284 2
 
0.3%
45.9375 2
 
0.3%
66.22524565 1
 
0.2%
178.085048 1
 
0.2%
272.5754094 1
 
0.2%
Other values (375) 375
64.3%
ValueCountFrequency (%)
-966.5478797 1
0.2%
-940.6548 1
0.2%
-495.6015779 1
0.2%
-464.4541798 1
0.2%
-264.3378188 1
0.2%
ValueCountFrequency (%)
483.2503826 1
0.2%
459.0963299 1
0.2%
410.0277008 1
0.2%
387.8305479 1
0.2%
386.4517815 1
0.2%
Distinct496
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.9056614
Minimum1.733333333
Maximum120.2013423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:29:48.113250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.733333333
5-th percentile9.537662338
Q118.87652439
median27.16129032
Q339.45559211
95-th percentile51.91221532
Maximum120.2013423
Range118.4680089
Interquartile range (IQR)20.57906772

Descriptive statistics

Standard deviation15.60484754
Coefficient of variation (CV)0.5218024551
Kurtosis4.674697713
Mean29.9056614
Median Absolute Deviation (MAD)9.941290323
Skewness1.448186078
Sum17435.0006
Variance243.5112668
MonotonicityNot monotonic
2023-02-02T09:29:48.884388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 6
 
1.0%
18.55555556 4
 
0.7%
19.72972973 4
 
0.7%
39.9 4
 
0.7%
40.90909091 4
 
0.7%
19.23076923 3
 
0.5%
47.83783784 3
 
0.5%
12.5 3
 
0.5%
14 3
 
0.5%
24.4691358 3
 
0.5%
Other values (486) 546
93.7%
ValueCountFrequency (%)
1.733333333 1
0.2%
2.5 1
0.2%
3.2 1
0.2%
3.958333333 1
0.2%
4.105263158 1
0.2%
ValueCountFrequency (%)
120.2013423 1
0.2%
107.3983051 1
0.2%
104.9230769 1
0.2%
100.75 1
0.2%
99.54639175 1
0.2%
Distinct530
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.248413708
Minimum-14.2025
Maximum20.24
Zeros0
Zeros (%)0.0%
Negative127
Negative (%)21.8%
Memory size4.7 KiB
2023-02-02T09:29:49.727169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-14.2025
5-th percentile-8.272093023
Q10.5196280992
median3.284580499
Q36.647237097
95-th percentile10.47385478
Maximum20.24
Range34.4425
Interquartile range (IQR)6.127608998

Descriptive statistics

Standard deviation5.226531662
Coefficient of variation (CV)1.6089489
Kurtosis1.012222454
Mean3.248413708
Median Absolute Deviation (MAD)2.992427811
Skewness-0.3200389934
Sum1893.825192
Variance27.31663322
MonotonicityNot monotonic
2023-02-02T09:29:50.502738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.236686391 3
 
0.5%
7.875 3
 
0.5%
7.939643347 3
 
0.5%
-12.41777778 2
 
0.3%
10.1696 2
 
0.3%
8.013101537 2
 
0.3%
8.033057851 2
 
0.3%
7.991111111 2
 
0.3%
4.282996433 2
 
0.3%
-3.555555556 2
 
0.3%
Other values (520) 560
96.1%
ValueCountFrequency (%)
-14.2025 1
0.2%
-13.42361111 1
0.2%
-12.41777778 2
0.3%
-10.28396694 1
0.2%
-10.25 2
0.3%
ValueCountFrequency (%)
20.24 1
0.2%
19.109375 1
0.2%
18.98967604 1
0.2%
17.1416205 1
0.2%
17.06122449 1
0.2%
Distinct543
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.974601801
Minimum-25.34755863
Maximum16.39074816
Zeros1
Zeros (%)0.2%
Negative521
Negative (%)89.4%
Memory size4.7 KiB
2023-02-02T09:29:51.255641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-25.34755863
5-th percentile-13.96970069
Q1-9.66123352
median-6.140495868
Q3-2.284558355
95-th percentile1.728563215
Maximum16.39074816
Range41.7383068
Interquartile range (IQR)7.376675165

Descriptive statistics

Standard deviation5.41890962
Coefficient of variation (CV)-0.906990926
Kurtosis0.8706483299
Mean-5.974601801
Median Absolute Deviation (MAD)3.765495868
Skewness0.271400327
Sum-3483.19285
Variance29.36458147
MonotonicityNot monotonic
2023-02-02T09:29:52.305223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.76859504 3
 
0.5%
-0.9081632653 2
 
0.3%
-1.666666667 2
 
0.3%
-8.562130178 2
 
0.3%
-4.68503214 2
 
0.3%
-13.57856673 2
 
0.3%
-7.964187328 2
 
0.3%
-8 2
 
0.3%
-6.788166545 2
 
0.3%
-2.422039323 2
 
0.3%
Other values (533) 562
96.4%
ValueCountFrequency (%)
-25.34755863 1
0.2%
-20.86703601 1
0.2%
-19.11111111 1
0.2%
-19.08033241 1
0.2%
-18.28254848 1
0.2%
ValueCountFrequency (%)
16.39074816 1
0.2%
12.73724008 1
0.2%
12.6035503 1
0.2%
12.49 1
0.2%
12.42178972 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.75502274
Minimum-22.436875
Maximum61.09589658
Zeros0
Zeros (%)0.0%
Negative415
Negative (%)71.2%
Memory size4.7 KiB
2023-02-02T09:29:53.128387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-22.436875
5-th percentile-12.94726901
Q1-7.111111111
median-2.839293798
Q30.5412244898
95-th percentile9.025408327
Maximum61.09589658
Range83.53277158
Interquartile range (IQR)7.652335601

Descriptive statistics

Standard deviation7.539518334
Coefficient of variation (CV)-2.736644683
Kurtosis13.85653569
Mean-2.75502274
Median Absolute Deviation (MAD)3.613209614
Skewness2.089069422
Sum-1606.178258
Variance56.84433671
MonotonicityNot monotonic
2023-02-02T09:29:53.891156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2 4
 
0.7%
-1.125 3
 
0.5%
-3.567901235 3
 
0.5%
4.238227147 2
 
0.3%
1.73388203 2
 
0.3%
-2.7344 2
 
0.3%
-11.16062737 2
 
0.3%
-2.831955923 2
 
0.3%
-3.946666667 2
 
0.3%
-1 2
 
0.3%
Other values (534) 559
95.9%
ValueCountFrequency (%)
-22.436875 1
0.2%
-22.30029586 1
0.2%
-20.6496 1
0.2%
-19.9047619 1
0.2%
-18.39669421 1
0.2%
ValueCountFrequency (%)
61.09589658 1
0.2%
45.15976331 1
0.2%
43.31083022 1
0.2%
30 1
0.2%
27.2303114 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.319588658
Minimum-30.93333333
Maximum100.6549255
Zeros0
Zeros (%)0.0%
Negative403
Negative (%)69.1%
Memory size4.7 KiB
2023-02-02T09:29:54.687231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-30.93333333
5-th percentile-12.15966615
Q1-4.127731806
median-1.81
Q30.6341119396
95-th percentile5.987603306
Maximum100.6549255
Range131.5882588
Interquartile range (IQR)4.761843746

Descriptive statistics

Standard deviation9.543078684
Coefficient of variation (CV)-7.231858674
Kurtosis50.01392937
Mean-1.319588658
Median Absolute Deviation (MAD)2.3725
Skewness5.543541479
Sum-769.3201877
Variance91.07035077
MonotonicityNot monotonic
2023-02-02T09:29:55.486518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6 3
 
0.5%
-3 3
 
0.5%
1 3
 
0.5%
-4.07133059 3
 
0.5%
-4 3
 
0.5%
3.052059756 2
 
0.3%
-5.333333333 2
 
0.3%
-5.420118343 2
 
0.3%
-2.419651056 2
 
0.3%
-2.573242188 2
 
0.3%
Other values (532) 558
95.7%
ValueCountFrequency (%)
-30.93333333 1
0.2%
-25.71706655 1
0.2%
-23.32756233 1
0.2%
-22.50765306 1
0.2%
-22.44 1
0.2%
ValueCountFrequency (%)
100.6549255 1
0.2%
81.1183432 1
0.2%
81.04388107 1
0.2%
69.6875 1
0.2%
67.37219683 1
0.2%
Distinct524
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3185716013
Minimum-31.04709141
Maximum30.58781136
Zeros14
Zeros (%)2.4%
Negative299
Negative (%)51.3%
Memory size4.7 KiB
2023-02-02T09:29:56.290904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-31.04709141
5-th percentile-11.94140625
Q1-2.535201063
median-0.1275720165
Q32.246883657
95-th percentile8.280121315
Maximum30.58781136
Range61.63490277
Interquartile range (IQR)4.782084719

Descriptive statistics

Standard deviation6.415788166
Coefficient of variation (CV)-20.13923445
Kurtosis5.430306131
Mean-0.3185716013
Median Absolute Deviation (MAD)2.382502623
Skewness-0.190708783
Sum-185.7272435
Variance41.1623378
MonotonicityNot monotonic
2023-02-02T09:29:56.914198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
2.4%
0.2304526749 3
 
0.5%
4.5 3
 
0.5%
6 3
 
0.5%
0.3826530612 2
 
0.3%
-0.5466666667 2
 
0.3%
2.222222222 2
 
0.3%
5.061831153 2
 
0.3%
0.2592592593 2
 
0.3%
0.3966942149 2
 
0.3%
Other values (514) 548
94.0%
ValueCountFrequency (%)
-31.04709141 1
0.2%
-30.08 1
0.2%
-25.1674992 1
0.2%
-23.27410208 1
0.2%
-21.36764311 1
0.2%
ValueCountFrequency (%)
30.58781136 1
0.2%
26.928 1
0.2%
26.5152 1
0.2%
25.6128 1
0.2%
22.50203712 1
0.2%
Distinct511
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.45626661
Minimum-17.64767536
Maximum35.29030224
Zeros33
Zeros (%)5.7%
Negative179
Negative (%)30.7%
Memory size4.7 KiB
2023-02-02T09:29:57.540157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-17.64767536
5-th percentile-8.682056017
Q1-0.4962514418
median1
Q33.846696429
95-th percentile10.816313
Maximum35.29030224
Range52.93797759
Interquartile range (IQR)4.34294787

Descriptive statistics

Standard deviation5.911520634
Coefficient of variation (CV)4.059367011
Kurtosis3.498035639
Mean1.45626661
Median Absolute Deviation (MAD)2.488703924
Skewness0.4168357403
Sum849.0034334
Variance34.9460762
MonotonicityNot monotonic
2023-02-02T09:29:58.412009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
5.7%
4.032921811 3
 
0.5%
1.853779991 2
 
0.3%
-2.124023438 2
 
0.3%
2.53125 2
 
0.3%
2.00073046 2
 
0.3%
-4.134430727 2
 
0.3%
4.5 2
 
0.3%
-0.002 2
 
0.3%
-9.326742976 2
 
0.3%
Other values (501) 531
91.1%
ValueCountFrequency (%)
-17.64767536 1
0.2%
-17.44990548 1
0.2%
-17.25 1
0.2%
-16.3100189 1
0.2%
-15.26203125 1
0.2%
ValueCountFrequency (%)
35.29030224 1
0.2%
24.3936 1
0.2%
23.45525148 1
0.2%
21.85034014 1
0.2%
20.8481405 1
0.2%
Distinct439
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8465604396
Minimum-20.00831025
Maximum79.2634566
Zeros109
Zeros (%)18.7%
Negative154
Negative (%)26.4%
Memory size4.7 KiB
2023-02-02T09:29:59.092086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-20.00831025
5-th percentile-7.940751562
Q1-0.006515432149
median0.3966942149
Q32.435334327
95-th percentile7.182315771
Maximum79.2634566
Range99.27176685
Interquartile range (IQR)2.441849759

Descriptive statistics

Standard deviation6.306833707
Coefficient of variation (CV)7.449950899
Kurtosis53.20318218
Mean0.8465604396
Median Absolute Deviation (MAD)1.334858524
Skewness4.746642838
Sum493.5447363
Variance39.77615141
MonotonicityNot monotonic
2023-02-02T09:29:59.851295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
2.25 4
 
0.7%
2.419753086 3
 
0.5%
3.151836735 2
 
0.3%
0.3076171875 2
 
0.3%
2.216296296 2
 
0.3%
-0.0024 2
 
0.3%
-12.09053498 2
 
0.3%
0.2272727273 2
 
0.3%
0.3163872363 2
 
0.3%
Other values (429) 453
77.7%
ValueCountFrequency (%)
-20.00831025 1
0.2%
-16.42344045 1
0.2%
-16.34295375 1
0.2%
-15.53361095 1
0.2%
-15.23182442 1
0.2%
ValueCountFrequency (%)
79.2634566 1
0.2%
49.81772479 1
0.2%
48.18934911 1
0.2%
29.625 1
0.2%
27.18035923 1
0.2%
Distinct359
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.691476033
Minimum-14.25777778
Maximum92.88959957
Zeros193
Zeros (%)33.1%
Negative93
Negative (%)16.0%
Memory size4.7 KiB
2023-02-02T09:30:00.498133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-14.25777778
5-th percentile-4.277660715
Q10
median0.143273636
Q32.33263204
95-th percentile6.786072664
Maximum92.88959957
Range107.1473773
Interquartile range (IQR)2.33263204

Descriptive statistics

Standard deviation8.296089602
Coefficient of variation (CV)4.90464508
Kurtosis80.87962058
Mean1.691476033
Median Absolute Deviation (MAD)0.9585782159
Skewness8.294775807
Sum986.1305271
Variance68.82510268
MonotonicityNot monotonic
2023-02-02T09:30:01.109163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
2.25 4
 
0.7%
2 3
 
0.5%
1.590942294 3
 
0.5%
1.555555556 2
 
0.3%
1.655510204 2
 
0.3%
-0.0028 2
 
0.3%
-9.82441701 2
 
0.3%
1 2
 
0.3%
4.151925078 2
 
0.3%
Other values (349) 368
63.1%
ValueCountFrequency (%)
-14.25777778 1
0.2%
-11.92561983 1
0.2%
-11.44897959 1
0.2%
-11.26530612 1
0.2%
-10.11072664 1
0.2%
ValueCountFrequency (%)
92.88959957 1
0.2%
84.63566504 1
0.2%
83.95266272 1
0.2%
78.9603571 1
0.2%
75.9375 1
0.2%
Distinct531
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.1547131
Minimum127.3333333
Maximum4143.906977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:30:01.756086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum127.3333333
5-th percentile215.2942857
Q1394.3142105
median524.9565217
Q3705.8171355
95-th percentile1309.157
Maximum4143.906977
Range4016.573643
Interquartile range (IQR)311.502925

Descriptive statistics

Standard deviation488.3821058
Coefficient of variation (CV)0.7750193654
Kurtosis22.2982646
Mean630.1547131
Median Absolute Deviation (MAD)155.9872985
Skewness4.098699385
Sum367380.1977
Variance238517.0813
MonotonicityNot monotonic
2023-02-02T09:30:02.369653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
740.212766 4
 
0.7%
631.1 3
 
0.5%
645.0526316 3
 
0.5%
653.5 3
 
0.5%
688.7906977 3
 
0.5%
710.5454545 3
 
0.5%
498 2
 
0.3%
587.28 2
 
0.3%
675 2
 
0.3%
267.8666667 2
 
0.3%
Other values (521) 556
95.4%
ValueCountFrequency (%)
127.3333333 1
0.2%
134.9285714 1
0.2%
145.1111111 2
0.3%
145.7333333 1
0.2%
152.4210526 1
0.2%
ValueCountFrequency (%)
4143.906977 1
0.2%
4063.162791 1
0.2%
3958.702703 2
0.3%
3826.709677 1
0.2%
3004.4 1
0.2%
Distinct540
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.72784497
Minimum-138.88
Maximum815.3098972
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:30:03.130831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-138.88
5-th percentile-56.0037461
Q1-12.319825
median70.26886145
Q3149.5833646
95-th percentile262.93856
Maximum815.3098972
Range954.1898972
Interquartile range (IQR)161.9031896

Descriptive statistics

Standard deviation121.1485075
Coefficient of variation (CV)1.500702856
Kurtosis8.974134647
Mean80.72784497
Median Absolute Deviation (MAD)81.79985319
Skewness1.941161837
Sum47064.33362
Variance14676.96086
MonotonicityNot monotonic
2023-02-02T09:30:04.108591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.9452241 4
 
0.7%
210 3
 
0.5%
141.8275 3
 
0.5%
172.8429752 3
 
0.5%
122.6646914 2
 
0.3%
153.7176852 2
 
0.3%
-32.5921522 2
 
0.3%
150.5300162 2
 
0.3%
101.4622222 2
 
0.3%
106.9910204 2
 
0.3%
Other values (530) 558
95.7%
ValueCountFrequency (%)
-138.88 1
0.2%
-136.7800454 1
0.2%
-135.6159122 1
0.2%
-113.5555556 1
0.2%
-113.5555556 1
0.2%
ValueCountFrequency (%)
815.3098972 1
0.2%
809.7631152 1
0.2%
802.6325785 2
0.3%
783.2715921 1
0.2%
348.8203018 1
0.2%
Distinct573
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.0814446
Minimum-324.4970414
Maximum5478.332612
Zeros0
Zeros (%)0.0%
Negative134
Negative (%)23.0%
Memory size4.7 KiB
2023-02-02T09:30:04.721964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-324.4970414
5-th percentile-118.9413265
Q111.91666667
median148.1570248
Q3322.2053444
95-th percentile666.2070269
Maximum5478.332612
Range5802.829654
Interquartile range (IQR)310.2886777

Descriptive statistics

Standard deviation534.3829146
Coefficient of variation (CV)2.235150099
Kurtosis70.69569088
Mean239.0814446
Median Absolute Deviation (MAD)149.0247934
Skewness7.618509564
Sum139384.4822
Variance285565.0994
MonotonicityNot monotonic
2023-02-02T09:30:05.288209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
248.4711111 2
 
0.3%
254.5950413 2
 
0.3%
100 2
 
0.3%
-223.6734694 2
 
0.3%
236 2
 
0.3%
36.38016529 2
 
0.3%
256.4044321 2
 
0.3%
245.1358025 2
 
0.3%
279.171875 2
 
0.3%
-119.6296296 2
 
0.3%
Other values (563) 563
96.6%
ValueCountFrequency (%)
-324.4970414 1
0.2%
-305.0969529 1
0.2%
-262.24 1
0.2%
-260.6127115 1
0.2%
-257.5266272 1
0.2%
ValueCountFrequency (%)
5478.332612 1
0.2%
5424.097882 1
0.2%
5419.097882 1
0.2%
5337.247659 1
0.2%
5158.098972 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.8362566
Minimum-270.597551
Maximum1259.980609
Zeros0
Zeros (%)0.0%
Negative222
Negative (%)38.1%
Memory size4.7 KiB
2023-02-02T09:30:05.838689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-270.597551
5-th percentile-162.1649235
Q1-47.37962963
median44
Q3302.5843979
95-th percentile740.7750696
Maximum1259.980609
Range1530.57816
Interquartile range (IQR)349.9640275

Descriptive statistics

Standard deviation281.4204347
Coefficient of variation (CV)1.865734679
Kurtosis1.079907351
Mean150.8362566
Median Absolute Deviation (MAD)131.5053061
Skewness1.205359901
Sum87937.53757
Variance79197.46108
MonotonicityNot monotonic
2023-02-02T09:30:06.422918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
0.3%
-20.32782369 2
 
0.3%
223.5066667 2
 
0.3%
114.4691358 2
 
0.3%
139 2
 
0.3%
174.2892562 2
 
0.3%
131.701675 1
 
0.2%
19.28571429 1
 
0.2%
291.5777778 1
 
0.2%
457.7066572 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-270.597551 1
0.2%
-269.3436385 1
0.2%
-263.8668054 1
0.2%
-245.0408163 1
0.2%
-231.24 1
0.2%
ValueCountFrequency (%)
1259.980609 1
0.2%
1178.336198 1
0.2%
1146.719388 1
0.2%
1123.46586 1
0.2%
1052.633609 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.93288
Minimum-293.5985006
Maximum1812.210198
Zeros0
Zeros (%)0.0%
Negative122
Negative (%)20.9%
Memory size4.7 KiB
2023-02-02T09:30:07.139393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-293.5985006
5-th percentile-114.2642998
Q111.70349206
median113.3038502
Q3449.371864
95-th percentile950.0874555
Maximum1812.210198
Range2105.808698
Interquartile range (IQR)437.6683719

Descriptive statistics

Standard deviation361.6861989
Coefficient of variation (CV)1.407706942
Kurtosis1.618539156
Mean256.93288
Median Absolute Deviation (MAD)141.6413228
Skewness1.37973751
Sum149791.8691
Variance130816.9065
MonotonicityNot monotonic
2023-02-02T09:30:07.745482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134 2
 
0.3%
27.28007346 2
 
0.3%
128.9535802 2
 
0.3%
90.71467764 2
 
0.3%
138.4049587 2
 
0.3%
137.2479339 1
 
0.2%
139.6717972 1
 
0.2%
214.0748299 1
 
0.2%
892.5733333 1
 
0.2%
878.7956568 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-293.5985006 1
0.2%
-283 1
0.2%
-234.0597555 1
0.2%
-189.8204082 1
0.2%
-176.4199943 1
0.2%
ValueCountFrequency (%)
1812.210198 1
0.2%
1724.962963 1
0.2%
1624.511464 1
0.2%
1584.336012 1
0.2%
1458.353339 1
0.2%
Distinct567
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.5454693
Minimum-398.5990482
Maximum1856.478096
Zeros10
Zeros (%)1.7%
Negative94
Negative (%)16.1%
Memory size4.7 KiB
2023-02-02T09:30:08.323076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-398.5990482
5-th percentile-111.3843195
Q122.50794959
median104.5138072
Q3378.4023669
95-th percentile896.1445402
Maximum1856.478096
Range2255.077144
Interquartile range (IQR)355.8944173

Descriptive statistics

Standard deviation337.7574965
Coefficient of variation (CV)1.433937564
Kurtosis3.632482606
Mean235.5454693
Median Absolute Deviation (MAD)108.9582516
Skewness1.723961604
Sum137323.0086
Variance114080.1264
MonotonicityNot monotonic
2023-02-02T09:30:08.892868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
112.6255144 2
 
0.3%
28.30578512 2
 
0.3%
84.87603306 2
 
0.3%
66 2
 
0.3%
447 2
 
0.3%
38.31632653 2
 
0.3%
105.1037037 2
 
0.3%
-245.3681633 1
 
0.2%
252.1979352 1
 
0.2%
Other values (557) 557
95.5%
ValueCountFrequency (%)
-398.5990482 1
0.2%
-281.852552 1
0.2%
-270.1230852 1
0.2%
-245.3681633 1
0.2%
-223.75 1
0.2%
ValueCountFrequency (%)
1856.478096 1
0.2%
1843.17385 1
0.2%
1750.721471 1
0.2%
1635.138398 1
0.2%
1589.032544 1
0.2%
Distinct543
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.1150351
Minimum-413.2653061
Maximum1838.38746
Zeros33
Zeros (%)5.7%
Negative102
Negative (%)17.5%
Memory size4.7 KiB
2023-02-02T09:30:09.494026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-413.2653061
5-th percentile-105.421875
Q19.902032872
median91.66666667
Q3286.7837708
95-th percentile780.7460562
Maximum1838.38746
Range2251.652766
Interquartile range (IQR)276.8817379

Descriptive statistics

Standard deviation289.581181
Coefficient of variation (CV)1.539383499
Kurtosis5.449603733
Mean188.1150351
Median Absolute Deviation (MAD)93.85575455
Skewness2.018498005
Sum109671.0655
Variance83857.26037
MonotonicityNot monotonic
2023-02-02T09:30:10.082833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
5.7%
58.54591837 2
 
0.3%
599.634349 2
 
0.3%
116.6872428 2
 
0.3%
115.8251852 2
 
0.3%
144 2
 
0.3%
40.4077135 2
 
0.3%
58.72727273 2
 
0.3%
105 2
 
0.3%
27.34693878 1
 
0.2%
Other values (533) 533
91.4%
ValueCountFrequency (%)
-413.2653061 1
0.2%
-263.1111111 1
0.2%
-223.0279595 1
0.2%
-214.241333 1
0.2%
-212.0982987 1
0.2%
ValueCountFrequency (%)
1838.38746 1
0.2%
1660.2336 1
0.2%
1475.237426 1
0.2%
1453.508924 1
0.2%
1325.98393 1
0.2%
Distinct463
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.3208851
Minimum-198.5028355
Maximum1461.394171
Zeros109
Zeros (%)18.7%
Negative66
Negative (%)11.3%
Memory size4.7 KiB
2023-02-02T09:30:10.636390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-198.5028355
5-th percentile-26.24132231
Q10
median65.8125
Q3164.7945522
95-th percentile403.7065443
Maximum1461.394171
Range1659.897007
Interquartile range (IQR)164.7945522

Descriptive statistics

Standard deviation172.4423465
Coefficient of variation (CV)1.535265203
Kurtosis12.07990137
Mean112.3208851
Median Absolute Deviation (MAD)65.8125
Skewness2.747375115
Sum65483.07603
Variance29736.36287
MonotonicityNot monotonic
2023-02-02T09:30:11.225988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
92.98469388 2
 
0.3%
37.42424242 2
 
0.3%
115.9820408 2
 
0.3%
95 2
 
0.3%
91.10803324 2
 
0.3%
225 2
 
0.3%
97.75 2
 
0.3%
98.74074074 2
 
0.3%
-61.3837037 2
 
0.3%
Other values (453) 456
78.2%
ValueCountFrequency (%)
-198.5028355 1
0.2%
-193.4911243 1
0.2%
-175.2066116 1
0.2%
-163.8225739 1
0.2%
-135.6711759 1
0.2%
ValueCountFrequency (%)
1461.394171 1
0.2%
1043.247922 1
0.2%
1004.010226 1
0.2%
997.2086168 1
0.2%
979.0102264 1
0.2%
Distinct382
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.02758041
Minimum-1332.4348
Maximum921.0470525
Zeros193
Zeros (%)33.1%
Negative56
Negative (%)9.6%
Memory size4.7 KiB
2023-02-02T09:30:11.843600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1332.4348
5-th percentile-81.69644444
Q10
median26.66666667
Q3101.7916122
95-th percentile321.7594693
Maximum921.0470525
Range2253.481852
Interquartile range (IQR)101.7916122

Descriptive statistics

Standard deviation168.7203807
Coefficient of variation (CV)2.676929363
Kurtosis21.70174091
Mean63.02758041
Median Absolute Deviation (MAD)27.97245179
Skewness-1.153531904
Sum36745.07938
Variance28466.56686
MonotonicityNot monotonic
2023-02-02T09:30:12.673733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
82.19008264 2
 
0.3%
81.6562963 2
 
0.3%
89.484375 2
 
0.3%
170.3025 2
 
0.3%
78 2
 
0.3%
65.33333333 2
 
0.3%
88.2336 2
 
0.3%
147.5047259 2
 
0.3%
34.44077135 2
 
0.3%
Other values (372) 372
63.8%
ValueCountFrequency (%)
-1332.4348 1
0.2%
-1301.805612 1
0.2%
-910.5246548 1
0.2%
-883.8948578 1
0.2%
-228.1545559 1
0.2%
ValueCountFrequency (%)
921.0470525 1
0.2%
864.3438366 1
0.2%
838.2606814 1
0.2%
726.8533333 1
0.2%
648.3322314 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3082.256648
Minimum596.66685
Maximum22160.48019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:30:13.326166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum596.66685
5-th percentile1034.792271
Q11867.221974
median2512.200952
Q33299.399096
95-th percentile6852.554289
Maximum22160.48019
Range21563.81334
Interquartile range (IQR)1432.177122

Descriptive statistics

Standard deviation2702.181493
Coefficient of variation (CV)0.8766893226
Kurtosis23.36351523
Mean3082.256648
Median Absolute Deviation (MAD)720.3835767
Skewness4.353382459
Sum1796955.626
Variance7301784.821
MonotonicityNot monotonic
2023-02-02T09:30:13.948418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3414.289694 4
 
0.7%
2961.085201 3
 
0.5%
2998.584767 3
 
0.5%
3166.280984 3
 
0.5%
3272.815733 3
 
0.5%
3769.530331 2
 
0.3%
2534.056656 2
 
0.3%
3279.908568 2
 
0.3%
2850.925745 2
 
0.3%
1644.975157 2
 
0.3%
Other values (517) 557
95.5%
ValueCountFrequency (%)
596.66685 1
0.2%
623.8078764 1
0.2%
677.9554277 1
0.2%
682.2658629 2
0.3%
718.3317861 1
0.2%
ValueCountFrequency (%)
22160.48019 1
0.2%
21813.51428 1
0.2%
21271.02085 2
0.3%
20581.01565 1
0.2%
17188.84734 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.4446205
Minimum-730.2947094
Maximum4062.659991
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:30:14.555974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-730.2947094
5-th percentile-283.4930369
Q1-32.03859981
median290.167785
Q3628.0747879
95-th percentile1249.223171
Maximum4062.659991
Range4792.9547
Interquartile range (IQR)660.1133877

Descriptive statistics

Standard deviation567.4767042
Coefficient of variation (CV)1.592047324
Kurtosis12.71052672
Mean356.4446205
Median Absolute Deviation (MAD)324.048052
Skewness2.407487335
Sum207807.2137
Variance322029.8098
MonotonicityNot monotonic
2023-02-02T09:30:15.192871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
764.4628849 4
 
0.7%
729.7412333 3
 
0.5%
-43.55711009 2
 
0.3%
552.094888 2
 
0.3%
596.4621332 2
 
0.3%
634.6837943 2
 
0.3%
449.7776318 2
 
0.3%
731.045342 2
 
0.3%
1013.56473 2
 
0.3%
692.2699849 2
 
0.3%
Other values (535) 560
96.1%
ValueCountFrequency (%)
-730.2947094 1
0.2%
-717.9687912 1
0.2%
-711.1359337 1
0.2%
-581.6742851 2
0.3%
-507.9164185 1
0.2%
ValueCountFrequency (%)
4062.659991 1
0.2%
4019.177906 1
0.2%
3998.493305 1
0.2%
3998.493305 1
0.2%
3899.971014 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1192.790962
Minimum-1585.298615
Maximum29782.68996
Zeros0
Zeros (%)0.0%
Negative130
Negative (%)22.3%
Memory size4.7 KiB
2023-02-02T09:30:15.812765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1585.298615
5-th percentile-560.0122785
Q157.0623348
median774.9556352
Q31621.886832
95-th percentile3126.91191
Maximum29782.68996
Range31367.98858
Interquartile range (IQR)1564.824497

Descriptive statistics

Standard deviation2844.601581
Coefficient of variation (CV)2.384828249
Kurtosis78.66441318
Mean1192.790962
Median Absolute Deviation (MAD)766.4135254
Skewness8.21821437
Sum695397.1309
Variance8091758.154
MonotonicityNot monotonic
2023-02-02T09:30:16.402430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431.671832 2
 
0.3%
226.5258107 2
 
0.3%
26.54362513 2
 
0.3%
1378.177408 2
 
0.3%
1182.581263 2
 
0.3%
1220.279692 2
 
0.3%
1256.227344 2
 
0.3%
3130.626475 2
 
0.3%
1257.557471 2
 
0.3%
1485.33512 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-1585.298615 1
0.2%
-1462.165471 1
0.2%
-1287.810375 1
0.2%
-1252.177824 1
0.2%
-1236.010913 1
0.2%
ValueCountFrequency (%)
29782.68996 1
0.2%
29480.07679 1
0.2%
29458.1148 1
0.2%
28999.51405 1
0.2%
28220.6075 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean736.8703023
Minimum-1287.446381
Maximum5945.258978
Zeros0
Zeros (%)0.0%
Negative221
Negative (%)37.9%
Memory size4.7 KiB
2023-02-02T09:30:17.034440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1287.446381
5-th percentile-788.7725671
Q1-217.9735844
median222.4828923
Q31470.450732
95-th percentile3467.846863
Maximum5945.258978
Range7232.705359
Interquartile range (IQR)1688.424316

Descriptive statistics

Standard deviation1364.723388
Coefficient of variation (CV)1.852053725
Kurtosis1.210037463
Mean736.8703023
Median Absolute Deviation (MAD)640.820702
Skewness1.238064074
Sum429595.3863
Variance1862469.927
MonotonicityNot monotonic
2023-02-02T09:30:17.705217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
543.3432328 2
 
0.3%
-89.05425874 2
 
0.3%
80.48235799 2
 
0.3%
825.7700914 2
 
0.3%
1060.955426 2
 
0.3%
-387.924366 2
 
0.3%
2904.259113 1
 
0.2%
476.0306388 1
 
0.2%
730.7331773 1
 
0.2%
319.509076 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-1287.446381 1
0.2%
-1262.440376 1
0.2%
-1232.466547 1
0.2%
-1174.4868 1
0.2%
-1091.116315 1
0.2%
ValueCountFrequency (%)
5945.258978 1
0.2%
5773.122156 1
0.2%
5764.874302 1
0.2%
5501.415144 1
0.2%
5282.067318 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1247.940669
Minimum-1401.140575
Maximum9666.51252
Zeros0
Zeros (%)0.0%
Negative120
Negative (%)20.6%
Memory size4.7 KiB
2023-02-02T09:30:18.344122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1401.140575
5-th percentile-546.2987438
Q159.34519011
median552.2766012
Q32175.512303
95-th percentile4642.558556
Maximum9666.51252
Range11067.65309
Interquartile range (IQR)2116.167113

Descriptive statistics

Standard deviation1757.153996
Coefficient of variation (CV)1.408042898
Kurtosis2.101790622
Mean1247.940669
Median Absolute Deviation (MAD)690.3821346
Skewness1.456064734
Sum727549.4102
Variance3087590.165
MonotonicityNot monotonic
2023-02-02T09:30:18.925365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
674.8209569 2
 
0.3%
148.8708285 2
 
0.3%
605.1785406 2
 
0.3%
419.7045473 2
 
0.3%
650.5722588 2
 
0.3%
596.9219314 1
 
0.2%
610.0641322 1
 
0.2%
938.8286425 1
 
0.2%
4196.116402 1
 
0.2%
4117.881678 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-1401.140575 1
0.2%
-1188.206546 1
0.2%
-1101.217372 1
0.2%
-927.6685352 1
0.2%
-851.5324438 1
0.2%
ValueCountFrequency (%)
9666.51252 1
0.2%
8437.895847 1
0.2%
8404.607121 1
0.2%
7911.342411 1
0.2%
7108.14152 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1156.870525
Minimum-1922.313524
Maximum9799.687016
Zeros10
Zeros (%)1.7%
Negative93
Negative (%)16.0%
Memory size4.7 KiB
2023-02-02T09:30:19.565438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1922.313524
5-th percentile-520.910441
Q1109.4206147
median512.1830461
Q31840.417837
95-th percentile4347.002167
Maximum9799.687016
Range11722.00054
Interquartile range (IQR)1730.997222

Descriptive statistics

Standard deviation1663.984672
Coefficient of variation (CV)1.438349959
Kurtosis4.55957285
Mean1156.870525
Median Absolute Deviation (MAD)539.1874126
Skewness1.851843593
Sum674455.5161
Variance2768844.988
MonotonicityNot monotonic
2023-02-02T09:30:20.164959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
527.5017592 2
 
0.3%
2135.988963 2
 
0.3%
397.9715692 2
 
0.3%
149.3674418 2
 
0.3%
331.4045078 2
 
0.3%
490.6211284 2
 
0.3%
1253.704856 1
 
0.2%
323.8837978 1
 
0.2%
-1127.084421 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-1922.313524 1
0.2%
-1334.743991 1
0.2%
-1265.736256 1
0.2%
-1127.084421 1
0.2%
-1087.88175 1
0.2%
ValueCountFrequency (%)
9799.687016 1
0.2%
9744.774057 1
0.2%
9285.632901 1
0.2%
8655.232469 1
0.2%
7579.469203 1
0.2%
Distinct546
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean931.9745053
Minimum-2003.922729
Maximum9218.071796
Zeros32
Zeros (%)5.5%
Negative96
Negative (%)16.5%
Memory size4.7 KiB
2023-02-02T09:30:20.819905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2003.922729
5-th percentile-506.135362
Q151.59946971
median463.0172906
Q31407.381636
95-th percentile3831.324109
Maximum9218.071796
Range11221.99452
Interquartile range (IQR)1355.782166

Descriptive statistics

Standard deviation1435.220713
Coefficient of variation (CV)1.539978513
Kurtosis5.942320591
Mean931.9745053
Median Absolute Deviation (MAD)463.076899
Skewness2.09470718
Sum543341.1366
Variance2059858.494
MonotonicityNot monotonic
2023-02-02T09:30:21.474783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
2931.887416 2
 
0.3%
543.3060758 2
 
0.3%
268.9415144 2
 
0.3%
547.4553768 2
 
0.3%
208.1862672 2
 
0.3%
707.0009516 2
 
0.3%
1880.134942 1
 
0.2%
-554.9161609 1
 
0.2%
-503.3135044 1
 
0.2%
Other values (536) 536
91.9%
ValueCountFrequency (%)
-2003.922729 1
0.2%
-1283.012242 1
0.2%
-1045.161998 1
0.2%
-1038.751505 1
0.2%
-1038.563146 1
0.2%
ValueCountFrequency (%)
9218.071796 1
0.2%
7988.859216 1
0.2%
7771.219029 1
0.2%
7659.473555 1
0.2%
7015.961432 1
0.2%
Distinct467
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean549.0705394
Minimum-964.8926185
Maximum7254.945461
Zeros109
Zeros (%)18.7%
Negative64
Negative (%)11.0%
Memory size4.7 KiB
2023-02-02T09:30:22.063328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-964.8926185
5-th percentile-120.4796606
Q10
median323.1059965
Q3800.6939524
95-th percentile1938.546436
Maximum7254.945461
Range8219.83808
Interquartile range (IQR)800.6939524

Descriptive statistics

Standard deviation847.8611168
Coefficient of variation (CV)1.544175212
Kurtosis13.00447956
Mean549.0705394
Median Absolute Deviation (MAD)323.1059965
Skewness2.863285106
Sum320108.1245
Variance718868.4733
MonotonicityNot monotonic
2023-02-02T09:30:22.912652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
670.3220729 2
 
0.3%
463.5156744 2
 
0.3%
484.1706611 2
 
0.3%
466.3297017 2
 
0.3%
-287.355292 2
 
0.3%
496.8259821 2
 
0.3%
543.0025983 2
 
0.3%
192.9920004 2
 
0.3%
706.651178 1
 
0.2%
Other values (457) 457
78.4%
ValueCountFrequency (%)
-964.8926185 1
0.2%
-877.8955265 1
0.2%
-825.7714144 1
0.2%
-769.792033 1
0.2%
-715.0605244 1
0.2%
ValueCountFrequency (%)
7254.945461 1
0.2%
5265.189469 1
0.2%
5144.12346 1
0.2%
4910.780876 1
0.2%
4833.128988 1
0.2%
Distinct383
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.6677448
Minimum-6925.097599
Maximum4816.800563
Zeros193
Zeros (%)33.1%
Negative57
Negative (%)9.8%
Memory size4.7 KiB
2023-02-02T09:30:23.616344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-6925.097599
5-th percentile-393.8497547
Q10
median125.4024954
Q3493.9144671
95-th percentile1517.574318
Maximum4816.800563
Range11741.89816
Interquartile range (IQR)493.9144671

Descriptive statistics

Standard deviation841.6304502
Coefficient of variation (CV)2.771550369
Kurtosis25.05115128
Mean303.6677448
Median Absolute Deviation (MAD)142.7536398
Skewness-1.535673472
Sum177038.2952
Variance708341.8148
MonotonicityNot monotonic
2023-02-02T09:30:24.293629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
385.6286346 2
 
0.3%
383.725273 2
 
0.3%
443.3885588 2
 
0.3%
422.182798 2
 
0.3%
808.140179 2
 
0.3%
382.6184662 2
 
0.3%
437.9291598 2
 
0.3%
177.7977336 2
 
0.3%
889.2229633 1
 
0.2%
Other values (373) 373
64.0%
ValueCountFrequency (%)
-6925.097599 1
0.2%
-6780.922759 1
0.2%
-4802.266278 1
0.2%
-4663.997963 1
0.2%
-1211.321832 1
0.2%
ValueCountFrequency (%)
4816.800563 1
0.2%
4415.218198 1
0.2%
4073.111265 1
0.2%
3430.446918 1
0.2%
3143.870116 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2099.870468
Minimum413.8378683
Maximum7192.475096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:30:24.993668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum413.8378683
5-th percentile928.9232157
Q11478.006832
median1876.986735
Q32448.308086
95-th percentile4127.157937
Maximum7192.475096
Range6778.637228
Interquartile range (IQR)970.3012537

Descriptive statistics

Standard deviation976.2678957
Coefficient of variation (CV)0.4649181512
Kurtosis2.615635323
Mean2099.870468
Median Absolute Deviation (MAD)450.3954863
Skewness1.425408136
Sum1224224.483
Variance953099.0042
MonotonicityNot monotonic
2023-02-02T09:30:25.662035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2091.956546 4
 
0.7%
1934.629224 3
 
0.5%
1616.543979 3
 
0.5%
1694.799818 3
 
0.5%
1685.318078 3
 
0.5%
1847.943573 3
 
0.5%
1486.771544 2
 
0.3%
1653.667244 2
 
0.3%
3917.63031 2
 
0.3%
2379.185267 2
 
0.3%
Other values (517) 556
95.4%
ValueCountFrequency (%)
413.8378683 1
0.2%
488.5856324 1
0.2%
501.5259832 1
0.2%
584.4921407 1
0.2%
651.677001 1
0.2%
ValueCountFrequency (%)
7192.475096 1
0.2%
5932.65835 1
0.2%
5835.673329 1
0.2%
5762.332186 1
0.2%
5607.093741 1
0.2%
Distinct543
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-206.7534566
Minimum-579.8650621
Maximum258.4872379
Zeros0
Zeros (%)0.0%
Negative563
Negative (%)96.6%
Memory size4.7 KiB
2023-02-02T09:30:26.364424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-579.8650621
5-th percentile-391.8986339
Q1-270.6963323
median-212.1205776
Q3-154.2576416
95-th percentile-20.54005467
Maximum258.4872379
Range838.3523
Interquartile range (IQR)116.4386907

Descriptive statistics

Standard deviation111.5646571
Coefficient of variation (CV)-0.5396023794
Kurtosis1.803989238
Mean-206.7534566
Median Absolute Deviation (MAD)58.45907906
Skewness0.522988757
Sum-120537.2652
Variance12446.67272
MonotonicityNot monotonic
2023-02-02T09:30:26.986123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-246.2378059 4
 
0.7%
-243.0992453 3
 
0.5%
-224.0183424 2
 
0.3%
-234.5456688 2
 
0.3%
-190.3798128 2
 
0.3%
-188.0898488 2
 
0.3%
-215.8456514 2
 
0.3%
-359.6457657 2
 
0.3%
-198.293553 2
 
0.3%
-222.7926251 2
 
0.3%
Other values (533) 560
96.1%
ValueCountFrequency (%)
-579.8650621 1
0.2%
-527.2588106 1
0.2%
-486.8733771 1
0.2%
-474.1999808 1
0.2%
-463.8174671 1
0.2%
ValueCountFrequency (%)
258.4872379 1
0.2%
226.453019 1
0.2%
216.9029796 1
0.2%
195.7358098 1
0.2%
189.3585877 1
0.2%
Distinct576
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-33.39940714
Minimum-2154.134838
Maximum1398.180329
Zeros0
Zeros (%)0.0%
Negative256
Negative (%)43.9%
Memory size4.7 KiB
2023-02-02T09:30:27.589491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2154.134838
5-th percentile-1168.564504
Q1-264.1768097
median53.15901245
Q3316.4053546
95-th percentile711.9256186
Maximum1398.180329
Range3552.315166
Interquartile range (IQR)580.5821643

Descriptive statistics

Standard deviation541.5239646
Coefficient of variation (CV)-16.21358015
Kurtosis1.144906762
Mean-33.39940714
Median Absolute Deviation (MAD)292.3761941
Skewness-0.8324018105
Sum-19471.85437
Variance293248.2042
MonotonicityNot monotonic
2023-02-02T09:30:28.415340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301.6800787 2
 
0.3%
155.9322587 2
 
0.3%
-978.2764641 2
 
0.3%
42.95640944 2
 
0.3%
119.810192 2
 
0.3%
-222.3145139 2
 
0.3%
-930.4602388 2
 
0.3%
-724.0948497 1
 
0.2%
621.0608165 1
 
0.2%
88.02074358 1
 
0.2%
Other values (566) 566
97.1%
ValueCountFrequency (%)
-2154.134838 1
0.2%
-2109.618816 1
0.2%
-1907.933234 1
0.2%
-1703.754522 1
0.2%
-1583.630029 1
0.2%
ValueCountFrequency (%)
1398.180329 1
0.2%
1205.503103 1
0.2%
1152.712083 1
0.2%
1148.158756 1
0.2%
1130.767024 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-396.5252568
Minimum-1991.589085
Maximum1530.794299
Zeros0
Zeros (%)0.0%
Negative461
Negative (%)79.1%
Memory size4.7 KiB
2023-02-02T09:30:29.269134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1991.589085
5-th percentile-1402.396305
Q1-734.120549
median-404.2406025
Q3-14.87366812
95-th percentile527.5008444
Maximum1530.794299
Range3522.383384
Interquartile range (IQR)719.2468808

Descriptive statistics

Standard deviation558.0896678
Coefficient of variation (CV)-1.407450492
Kurtosis0.2125904478
Mean-396.5252568
Median Absolute Deviation (MAD)370.7640832
Skewness-0.2117024489
Sum-231174.2247
Variance311464.0773
MonotonicityNot monotonic
2023-02-02T09:30:30.379568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-611.7477165 2
 
0.3%
-438.4406197 2
 
0.3%
-404.2406025 2
 
0.3%
-453.2283573 2
 
0.3%
-464.7938065 2
 
0.3%
-117.4085517 1
 
0.2%
-98.90839768 1
 
0.2%
-415.6877439 1
 
0.2%
-793.5803742 1
 
0.2%
-458.8789922 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-1991.589085 1
0.2%
-1886.210265 1
0.2%
-1820.601156 1
0.2%
-1809.094641 1
0.2%
-1804.635467 1
0.2%
ValueCountFrequency (%)
1530.794299 1
0.2%
1195.118011 1
0.2%
1141.675659 1
0.2%
838.9175104 1
0.2%
829.6675406 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.20655576
Minimum-2555.069556
Maximum5121.695047
Zeros0
Zeros (%)0.0%
Negative249
Negative (%)42.7%
Memory size4.7 KiB
2023-02-02T09:30:31.658515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2555.069556
5-th percentile-1386.363431
Q1-256.16971
median64.52288467
Q3431.8037608
95-th percentile1416.693614
Maximum5121.695047
Range7676.764602
Interquartile range (IQR)687.9734708

Descriptive statistics

Standard deviation833.9642082
Coefficient of variation (CV)10.94347067
Kurtosis5.039265841
Mean76.20655576
Median Absolute Deviation (MAD)342.802072
Skewness0.8510243905
Sum44428.42201
Variance695496.3005
MonotonicityNot monotonic
2023-02-02T09:30:33.078518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.7243715 2
 
0.3%
63.15750959 2
 
0.3%
156.417203 2
 
0.3%
-177.896263 2
 
0.3%
182.6416476 2
 
0.3%
-1371.612062 1
 
0.2%
-1361.471365 1
 
0.2%
-1521.807341 1
 
0.2%
1201.574476 1
 
0.2%
951.3950512 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-2555.069556 1
0.2%
-2518.018828 1
0.2%
-1988.333097 1
0.2%
-1864.157556 1
0.2%
-1861.120712 1
0.2%
ValueCountFrequency (%)
5121.695047 1
0.2%
4214.726018 1
0.2%
3878.47893 1
0.2%
3611.837475 1
0.2%
3488.647985 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.2421163
Minimum-3040.900064
Maximum3155.220575
Zeros10
Zeros (%)1.7%
Negative178
Negative (%)30.5%
Memory size4.7 KiB
2023-02-02T09:30:34.933183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3040.900064
5-th percentile-611.8163688
Q1-21.28224481
median137.9925767
Q3553.3486058
95-th percentile1382.226449
Maximum3155.220575
Range6196.120639
Interquartile range (IQR)574.6308506

Descriptive statistics

Standard deviation664.4830457
Coefficient of variation (CV)2.666014298
Kurtosis3.619902523
Mean249.2421163
Median Absolute Deviation (MAD)274.0371645
Skewness-0.1331269855
Sum145308.1538
Variance441537.718
MonotonicityNot monotonic
2023-02-02T09:30:36.247223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
65.15354043 2
 
0.3%
221.5189075 2
 
0.3%
99.16022754 2
 
0.3%
-16.92795705 2
 
0.3%
-129.0902145 2
 
0.3%
36.0285963 2
 
0.3%
156.8638004 1
 
0.2%
-474.0818769 1
 
0.2%
-294.1857225 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-3040.900064 1
0.2%
-2609.117473 1
0.2%
-2331.373136 1
0.2%
-2303.63908 1
0.2%
-2281.782988 1
0.2%
ValueCountFrequency (%)
3155.220575 1
0.2%
2608.046759 1
0.2%
2385.130524 1
0.2%
2379.327137 1
0.2%
2086.095258 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.939213
Minimum-3162.721107
Maximum5201.860977
Zeros32
Zeros (%)5.5%
Negative189
Negative (%)32.4%
Memory size4.7 KiB
2023-02-02T09:30:37.941898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3162.721107
5-th percentile-1123.358106
Q1-121.0635496
median87.23072014
Q3378.5916295
95-th percentile1443.086568
Maximum5201.860977
Range8364.582084
Interquartile range (IQR)499.6551792

Descriptive statistics

Standard deviation806.4519234
Coefficient of variation (CV)4.773621878
Kurtosis7.058381299
Mean168.939213
Median Absolute Deviation (MAD)257.9256412
Skewness1.127826324
Sum98491.5612
Variance650364.7047
MonotonicityNot monotonic
2023-02-02T09:30:38.735270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
140.2556009 2
 
0.3%
-220.0905542 2
 
0.3%
130.0063493 2
 
0.3%
75.79635795 2
 
0.3%
204.9749264 2
 
0.3%
1147.459227 1
 
0.2%
-418.9061477 1
 
0.2%
-392.6931957 1
 
0.2%
-78.08324682 1
 
0.2%
Other values (537) 537
92.1%
ValueCountFrequency (%)
-3162.721107 1
0.2%
-2204.354328 1
0.2%
-2148.455466 1
0.2%
-2069.850364 1
0.2%
-1879.150913 1
0.2%
ValueCountFrequency (%)
5201.860977 1
0.2%
4829.729174 1
0.2%
3765.904348 1
0.2%
3592.810778 1
0.2%
3059.975715 1
0.2%
Distinct469
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.8258447
Minimum-3199.932813
Maximum1616.236791
Zeros109
Zeros (%)18.7%
Negative111
Negative (%)19.0%
Memory size4.7 KiB
2023-02-02T09:30:39.459006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3199.932813
5-th percentile-483.8861781
Q10
median77.21723784
Q3332.6941596
95-th percentile821.3947851
Maximum1616.236791
Range4816.169604
Interquartile range (IQR)332.6941596

Descriptive statistics

Standard deviation446.6115081
Coefficient of variation (CV)3.337259027
Kurtosis9.708104858
Mean133.8258447
Median Absolute Deviation (MAD)125.6315666
Skewness-1.448184052
Sum78020.46743
Variance199461.8391
MonotonicityNot monotonic
2023-02-02T09:30:40.300072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
71.60641831 2
 
0.3%
-80.41777692 2
 
0.3%
124.527438 2
 
0.3%
125.897014 2
 
0.3%
467.1666319 2
 
0.3%
147.5190077 2
 
0.3%
-329.5017849 1
 
0.2%
84.74161433 1
 
0.2%
646.1735906 1
 
0.2%
Other values (459) 459
78.7%
ValueCountFrequency (%)
-3199.932813 1
0.2%
-2461.95342 1
0.2%
-1807.067922 1
0.2%
-1803.588388 1
0.2%
-1799.85314 1
0.2%
ValueCountFrequency (%)
1616.236791 1
0.2%
1427.91795 1
0.2%
1314.157417 1
0.2%
1292.604674 1
0.2%
1292.500289 1
0.2%
Distinct386
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.13445295
Minimum-2206.657142
Maximum4509.000396
Zeros193
Zeros (%)33.1%
Negative100
Negative (%)17.2%
Memory size4.7 KiB
2023-02-02T09:30:40.881484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2206.657142
5-th percentile-765.8887991
Q10
median0
Q3231.8069279
95-th percentile847.5392932
Maximum4509.000396
Range6715.657538
Interquartile range (IQR)231.8069279

Descriptive statistics

Standard deviation609.2468274
Coefficient of variation (CV)6.541583787
Kurtosis13.42077534
Mean93.13445295
Median Absolute Deviation (MAD)72.61131021
Skewness1.21528882
Sum54297.38607
Variance371181.6967
MonotonicityNot monotonic
2023-02-02T09:30:41.597936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
142.4574928 2
 
0.3%
108.7992751 2
 
0.3%
508.7592057 2
 
0.3%
81.89267742 2
 
0.3%
67.41647867 2
 
0.3%
1056.765412 1
 
0.2%
959.1700576 1
 
0.2%
553.8778411 1
 
0.2%
-184.2545959 1
 
0.2%
Other values (376) 376
64.5%
ValueCountFrequency (%)
-2206.657142 1
0.2%
-1930.968755 1
0.2%
-1929.589938 1
0.2%
-1917.861626 1
0.2%
-1886.537159 1
0.2%
ValueCountFrequency (%)
4509.000396 1
0.2%
3727.395774 1
0.2%
3659.575133 1
0.2%
3558.741128 1
0.2%
3014.904123 1
0.2%
Distinct530
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.877216589
Minimum0.5242824186
Maximum37.06799519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:30:42.283746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5242824186
5-th percentile0.9162247537
Q13.285096889
median7.637120432
Q311.35630878
95-th percentile16.05635908
Maximum37.06799519
Range36.54371278
Interquartile range (IQR)8.07121189

Descriptive statistics

Standard deviation5.552858391
Coefficient of variation (CV)0.7049264582
Kurtosis3.178523088
Mean7.877216589
Median Absolute Deviation (MAD)4.054982568
Skewness1.132435844
Sum4592.417271
Variance30.83423631
MonotonicityNot monotonic
2023-02-02T09:30:43.106702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.98865621 4
 
0.7%
11.692103 3
 
0.5%
10.9644824 3
 
0.5%
11.4472539 3
 
0.5%
11.85679819 3
 
0.5%
10.96601326 3
 
0.5%
10.72041204 2
 
0.3%
5.577008098 2
 
0.3%
3.377974306 2
 
0.3%
7.146848727 2
 
0.3%
Other values (520) 556
95.4%
ValueCountFrequency (%)
0.5242824186 1
0.2%
0.5484586667 2
0.3%
0.6339702 1
0.2%
0.6847133846 1
0.2%
0.70306695 1
0.2%
ValueCountFrequency (%)
37.06799519 1
0.2%
34.54306336 1
0.2%
34.39664181 1
0.2%
32.46974891 1
0.2%
32.05280911 1
0.2%
Distinct550
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4362243763
Minimum-2.989128111
Maximum2.797046036
Zeros0
Zeros (%)0.0%
Negative311
Negative (%)53.3%
Memory size4.7 KiB
2023-02-02T09:30:44.311213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2.989128111
5-th percentile-2.367477791
Q1-1.727200862
median-0.0558106768
Q30.2425545988
95-th percentile0.9144330092
Maximum2.797046036
Range5.786174147
Interquartile range (IQR)1.969755461

Descriptive statistics

Standard deviation1.108641511
Coefficient of variation (CV)-2.541447868
Kurtosis-0.5339505683
Mean-0.4362243763
Median Absolute Deviation (MAD)0.5153475012
Skewness-0.4608646219
Sum-254.3188114
Variance1.229086
MonotonicityNot monotonic
2023-02-02T09:30:45.061332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2894934559 3
 
0.5%
-2.057355337 2
 
0.3%
0.3483561106 2
 
0.3%
-1.730331436 2
 
0.3%
-1.734916605 2
 
0.3%
-0.1664405318 2
 
0.3%
0.5669590255 2
 
0.3%
-0.04511789 2
 
0.3%
0.1609144463 2
 
0.3%
0.5237406196 2
 
0.3%
Other values (540) 562
96.4%
ValueCountFrequency (%)
-2.989128111 1
0.2%
-2.952353563 1
0.2%
-2.885173 1
0.2%
-2.594809445 1
0.2%
-2.584064629 1
0.2%
ValueCountFrequency (%)
2.797046036 1
0.2%
2.790008325 1
0.2%
2.782436158 1
0.2%
2.296833186 1
0.2%
2.243616669 1
0.2%
Distinct570
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.562662565
Minimum-2.876771296
Maximum34.48523472
Zeros0
Zeros (%)0.0%
Negative87
Negative (%)14.9%
Memory size4.7 KiB
2023-02-02T09:30:45.962851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2.876771296
5-th percentile-0.2504867358
Q12.083919992
median6.053792017
Q39.275701552
95-th percentile20.17585427
Maximum34.48523472
Range37.36200601
Interquartile range (IQR)7.19178156

Descriptive statistics

Standard deviation6.138548177
Coefficient of variation (CV)0.9353746465
Kurtosis2.177666253
Mean6.562662565
Median Absolute Deviation (MAD)3.633115933
Skewness1.30029392
Sum3826.032275
Variance37.68177372
MonotonicityNot monotonic
2023-02-02T09:30:46.810046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.128104247 2
 
0.3%
2.192500576 2
 
0.3%
2.268052327 2
 
0.3%
7.070960062 2
 
0.3%
-0.1988059074 2
 
0.3%
23.05804387 2
 
0.3%
2.491243653 2
 
0.3%
23.61373638 2
 
0.3%
9.55414405 2
 
0.3%
13.30895462 2
 
0.3%
Other values (560) 563
96.6%
ValueCountFrequency (%)
-2.876771296 1
0.2%
-1.306722494 1
0.2%
-1.210534876 1
0.2%
-1.112380343 1
0.2%
-0.6619259985 1
0.2%
ValueCountFrequency (%)
34.48523472 1
0.2%
31.88680953 1
0.2%
31.46886724 1
0.2%
28.91382596 1
0.2%
28.38157089 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.773984128
Minimum-1.476873858
Maximum35.76492229
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)20.1%
Memory size4.7 KiB
2023-02-02T09:30:47.893002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.476873858
5-th percentile-0.4587595305
Q10.04977150797
median2.168956123
Q313.3770681
95-th percentile21.66566831
Maximum35.76492229
Range37.24179615
Interquartile range (IQR)13.32729659

Descriptive statistics

Standard deviation8.138745833
Coefficient of variation (CV)1.201471051
Kurtosis-0.002950363442
Mean6.773984128
Median Absolute Deviation (MAD)2.429582969
Skewness0.9620217365
Sum3949.232747
Variance66.23918374
MonotonicityNot monotonic
2023-02-02T09:30:48.578709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.91663872 2
 
0.3%
0.9865997314 2
 
0.3%
10.98636298 2
 
0.3%
8.525313988 2
 
0.3%
9.828893248 2
 
0.3%
3.757760855 1
 
0.2%
3.724165616 1
 
0.2%
3.201734857 1
 
0.2%
12.93174196 1
 
0.2%
15.37233152 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-1.476873858 1
0.2%
-1.269195676 1
0.2%
-1.206288245 1
0.2%
-1.161403257 1
0.2%
-1.140716946 1
0.2%
ValueCountFrequency (%)
35.76492229 1
0.2%
35.37856334 1
0.2%
33.78164283 1
0.2%
31.18857404 1
0.2%
30.94619994 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.860243133
Minimum-12.87637367
Maximum41.76974714
Zeros0
Zeros (%)0.0%
Negative109
Negative (%)18.7%
Memory size4.7 KiB
2023-02-02T09:30:49.635190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-12.87637367
5-th percentile-0.8689584369
Q10.1707761569
median2.14095062
Q37.941326075
95-th percentile20.30670065
Maximum41.76974714
Range54.6461208
Interquartile range (IQR)7.770549918

Descriptive statistics

Standard deviation7.283735833
Coefficient of variation (CV)1.498636104
Kurtosis3.990752485
Mean4.860243133
Median Absolute Deviation (MAD)2.192824052
Skewness1.807968174
Sum2833.521746
Variance53.05280769
MonotonicityNot monotonic
2023-02-02T09:30:50.086351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.90049983 2
 
0.3%
0.9426860838 2
 
0.3%
2.398570844 2
 
0.3%
2.503479818 2
 
0.3%
2.452789711 2
 
0.3%
11.0590567 1
 
0.2%
11.09917523 1
 
0.2%
11.08181637 1
 
0.2%
8.866246684 1
 
0.2%
9.097765878 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-12.87637367 1
0.2%
-12.33942084 1
0.2%
-9.738248578 1
0.2%
-9.636164417 1
0.2%
-5.62242821 1
0.2%
ValueCountFrequency (%)
41.76974714 1
0.2%
39.81692136 1
0.2%
36.40418569 1
0.2%
34.97956754 1
0.2%
33.74149892 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.865397887
Minimum-11.08920965
Maximum37.96162668
Zeros10
Zeros (%)1.7%
Negative103
Negative (%)17.7%
Memory size4.7 KiB
2023-02-02T09:30:50.768286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-11.08920965
5-th percentile-0.6894611537
Q10.07943126509
median1.718113212
Q39.833531312
95-th percentile18.39389212
Maximum37.96162668
Range49.05083633
Interquartile range (IQR)9.754100047

Descriptive statistics

Standard deviation7.166678969
Coefficient of variation (CV)1.472989288
Kurtosis2.127065884
Mean4.865397887
Median Absolute Deviation (MAD)1.766509299
Skewness1.453264149
Sum2836.526968
Variance51.36128744
MonotonicityNot monotonic
2023-02-02T09:30:51.273416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
2.049849712 2
 
0.3%
12.75110914 2
 
0.3%
1.788036504 2
 
0.3%
0.9974853202 2
 
0.3%
2.37309617 2
 
0.3%
2.169800259 2
 
0.3%
8.07415029 1
 
0.2%
5.034646999 1
 
0.2%
-4.03351313 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-11.08920965 1
0.2%
-10.78770717 1
0.2%
-9.398642061 1
0.2%
-9.000372457 1
0.2%
-6.481940532 1
0.2%
ValueCountFrequency (%)
37.96162668 1
0.2%
35.71305157 1
0.2%
34.20799048 1
0.2%
33.65056794 1
0.2%
32.25396781 1
0.2%
Distinct546
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.933894123
Minimum-1.918777714
Maximum45.29606356
Zeros32
Zeros (%)5.5%
Negative53
Negative (%)9.1%
Memory size4.7 KiB
2023-02-02T09:30:52.099201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.918777714
5-th percentile-0.1247998917
Q10.2026868212
median1.604274894
Q38.54371394
95-th percentile18.15670488
Maximum45.29606356
Range47.21484127
Interquartile range (IQR)8.341027119

Descriptive statistics

Standard deviation7.154525386
Coefficient of variation (CV)1.450076797
Kurtosis4.543029342
Mean4.933894123
Median Absolute Deviation (MAD)1.577053644
Skewness1.937753625
Sum2876.460274
Variance51.18723349
MonotonicityNot monotonic
2023-02-02T09:30:52.835872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
13.53570891 2
 
0.3%
2.014279723 2
 
0.3%
1.812674091 2
 
0.3%
1.736963922 2
 
0.3%
0.9812396164 2
 
0.3%
2.37944221 2
 
0.3%
2.252629222 1
 
0.2%
-0.8622245907 1
 
0.2%
-1.548305675 1
 
0.2%
Other values (536) 536
91.9%
ValueCountFrequency (%)
-1.918777714 1
0.2%
-1.6926795 1
0.2%
-1.548305675 1
0.2%
-1.151172233 1
0.2%
-0.8622245907 1
0.2%
ValueCountFrequency (%)
45.29606356 1
0.2%
43.21744884 1
0.2%
35.79181432 1
0.2%
35.70519281 1
0.2%
33.24557411 1
0.2%
Distinct466
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.527204728
Minimum-18.11825715
Maximum21.75217252
Zeros109
Zeros (%)18.7%
Negative56
Negative (%)9.6%
Memory size4.7 KiB
2023-02-02T09:30:54.236184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-18.11825715
5-th percentile-0.2232634878
Q10
median0.5288131959
Q32.250335741
95-th percentile6.242381785
Maximum21.75217252
Range39.87042966
Interquartile range (IQR)2.250335741

Descriptive statistics

Standard deviation3.038636553
Coefficient of variation (CV)1.989672044
Kurtosis15.28635973
Mean1.527204728
Median Absolute Deviation (MAD)0.6018371959
Skewness0.8740296616
Sum890.3603566
Variance9.233312099
MonotonicityNot monotonic
2023-02-02T09:30:54.866067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
1.248682086 2
 
0.3%
1.680118652 2
 
0.3%
2.025793357 2
 
0.3%
1.885600866 2
 
0.3%
1.55496291 2
 
0.3%
-0.88010472 2
 
0.3%
1.588031496 2
 
0.3%
1.937762811 2
 
0.3%
0.9015360606 2
 
0.3%
Other values (456) 456
78.2%
ValueCountFrequency (%)
-18.11825715 1
0.2%
-17.64890318 1
0.2%
-12.70549738 1
0.2%
-12.63378049 1
0.2%
-7.205378583 1
0.2%
ValueCountFrequency (%)
21.75217252 1
0.2%
20.76426931 1
0.2%
16.43785028 1
0.2%
16.29161115 1
0.2%
15.0674023 1
0.2%
Distinct384
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5127018312
Minimum-83.80756284
Maximum17.75946084
Zeros193
Zeros (%)33.1%
Negative42
Negative (%)7.2%
Memory size4.7 KiB
2023-02-02T09:30:55.923306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-83.80756284
5-th percentile-0.048004692
Q10
median0.1704253781
Q31.549730331
95-th percentile5.025935324
Maximum17.75946084
Range101.5670237
Interquartile range (IQR)1.549730331

Descriptive statistics

Standard deviation7.149215466
Coefficient of variation (CV)13.94419725
Kurtosis100.1210804
Mean0.5127018312
Median Absolute Deviation (MAD)0.1987517331
Skewness-9.404071075
Sum298.9051676
Variance51.11128178
MonotonicityNot monotonic
2023-02-02T09:30:56.455602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
1.189576488 2
 
0.3%
1.345957581 2
 
0.3%
1.856885201 2
 
0.3%
1.58231241 2
 
0.3%
0.99147099 2
 
0.3%
1.797085444 2
 
0.3%
0.8218325048 2
 
0.3%
0.810144 1
 
0.2%
0.2133571523 1
 
0.2%
Other values (374) 374
64.2%
ValueCountFrequency (%)
-83.80756284 1
0.2%
-82.1539503 1
0.2%
-70.41372018 1
0.2%
-70.23564599 1
0.2%
-51.47412836 1
0.2%
ValueCountFrequency (%)
17.75946084 1
0.2%
16.0306866 1
0.2%
12.58198017 1
0.2%
12.33294215 1
0.2%
10.78035362 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.98047198
Minimum1.425542857
Maximum56.82092081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:30:57.347754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.425542857
5-th percentile2.03204301
Q14.863408225
median11.67435152
Q317.00722508
95-th percentile23.99769236
Maximum56.82092081
Range55.39537795
Interquartile range (IQR)12.14381685

Descriptive statistics

Standard deviation8.19046926
Coefficient of variation (CV)0.6836516354
Kurtosis3.377443961
Mean11.98047198
Median Absolute Deviation (MAD)6.043676515
Skewness1.18165847
Sum6984.615163
Variance67.0837867
MonotonicityNot monotonic
2023-02-02T09:30:57.912569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.97585532 4
 
0.7%
16.36778947 3
 
0.5%
16.22499 3
 
0.5%
17.50179091 3
 
0.5%
17.51287907 3
 
0.5%
16.8783775 3
 
0.5%
16.8563907 2
 
0.3%
20.84711111 2
 
0.3%
14.22912188 2
 
0.3%
9.87105 2
 
0.3%
Other values (518) 556
95.4%
ValueCountFrequency (%)
1.425542857 1
0.2%
1.442295 1
0.2%
1.45892 1
0.2%
1.568588235 1
0.2%
1.59592 1
0.2%
ValueCountFrequency (%)
56.82092081 1
0.2%
51.7831322 1
0.2%
51.4393812 1
0.2%
47.884164 1
0.2%
47.11133196 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7681888013
Minimum-3.647310744
Maximum2.674204442
Zeros0
Zeros (%)0.0%
Negative369
Negative (%)63.3%
Memory size4.7 KiB
2023-02-02T09:30:58.730968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3.647310744
5-th percentile-3.107174731
Q1-2.163091753
median-0.2591822485
Q30.1568286842
95-th percentile0.4698421812
Maximum2.674204442
Range6.321515186
Interquartile range (IQR)2.319920437

Descriptive statistics

Standard deviation1.31306166
Coefficient of variation (CV)-1.709295499
Kurtosis-0.5888052473
Mean-0.7681888013
Median Absolute Deviation (MAD)0.4844444107
Skewness-0.5596222215
Sum-447.8540712
Variance1.724130924
MonotonicityNot monotonic
2023-02-02T09:30:59.296112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.46172525 3
 
0.5%
-0.140504029 3
 
0.5%
-1.841040979 2
 
0.3%
-3.168730211 2
 
0.3%
1.687172591 2
 
0.3%
-0.166596 2
 
0.3%
0.0197404898 2
 
0.3%
-0.203827686 2
 
0.3%
-0.2196520616 2
 
0.3%
-3.151569 2
 
0.3%
Other values (535) 561
96.2%
ValueCountFrequency (%)
-3.647310744 1
0.2%
-3.557433813 1
0.2%
-3.42820625 1
0.2%
-3.374036547 1
0.2%
-3.316801778 1
0.2%
ValueCountFrequency (%)
2.674204442 1
0.2%
2.668314851 1
0.2%
2.661971921 1
0.2%
2.345578671 1
0.2%
2.266310744 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.249911006
Minimum-4.089534594
Maximum50.18880089
Zeros0
Zeros (%)0.0%
Negative98
Negative (%)16.8%
Memory size4.7 KiB
2023-02-02T09:31:00.212062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.089534594
5-th percentile-0.7304399518
Q12.096318046
median8.758967638
Q313.2653905
95-th percentile30.0060066
Maximum50.18880089
Range54.27833549
Interquartile range (IQR)11.16907245

Descriptive statistics

Standard deviation8.940334713
Coefficient of variation (CV)0.9665319707
Kurtosis2.162516641
Mean9.249911006
Median Absolute Deviation (MAD)5.633975957
Skewness1.29518903
Sum5392.698117
Variance79.92958479
MonotonicityNot monotonic
2023-02-02T09:31:00.805907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.006292 2
 
0.3%
8.937464889 2
 
0.3%
24.864895 2
 
0.3%
7.743813774 2
 
0.3%
17.72493002 2
 
0.3%
34.07872921 2
 
0.3%
13.31500826 2
 
0.3%
2.769199408 2
 
0.3%
-0.5596666667 2
 
0.3%
2.720022222 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-4.089534594 1
0.2%
-1.96420631 1
0.2%
-1.744364629 1
0.2%
-1.57586785 1
0.2%
-1.523563776 1
0.2%
ValueCountFrequency (%)
50.18880089 1
0.2%
45.42012531 1
0.2%
44.9712343 1
0.2%
40.83132588 1
0.2%
39.96156539 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.348505791
Minimum-4.183755556
Maximum54.83077741
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)26.1%
Memory size4.7 KiB
2023-02-02T09:31:01.640210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.183755556
5-th percentile-0.9690345828
Q1-0.05077281165
median2.826996918
Q318.58043843
95-th percentile32.08981392
Maximum54.83077741
Range59.01453297
Interquartile range (IQR)18.63121125

Descriptive statistics

Standard deviation11.87668943
Coefficient of variation (CV)1.27043719
Kurtosis0.5015307861
Mean9.348505791
Median Absolute Deviation (MAD)3.597924809
Skewness1.094841353
Sum5450.178876
Variance141.0557517
MonotonicityNot monotonic
2023-02-02T09:31:02.426861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.858672 2
 
0.3%
1.3789573 2
 
0.3%
14.54150844 2
 
0.3%
10.76865062 2
 
0.3%
12.78983085 2
 
0.3%
4.21246281 1
 
0.2%
4.178993345 1
 
0.2%
3.212342857 1
 
0.2%
16.58819111 1
 
0.2%
20.32845372 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-4.183755556 1
0.2%
-3.5352 1
0.2%
-3.249989696 1
0.2%
-2.965939062 1
0.2%
-2.962035077 1
0.2%
ValueCountFrequency (%)
54.83077741 1
0.2%
52.82500363 1
0.2%
51.75980357 1
0.2%
48.01980918 1
0.2%
46.29744302 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.079786678
Minimum-20.26525139
Maximum67.19242499
Zeros0
Zeros (%)0.0%
Negative111
Negative (%)19.0%
Memory size4.7 KiB
2023-02-02T09:31:03.025711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-20.26525139
5-th percentile-1.395541605
Q10.2727778457
median3.089411531
Q310.33060134
95-th percentile31.823235
Maximum67.19242499
Range87.45767638
Interquartile range (IQR)10.0578235

Descriptive statistics

Standard deviation11.19624608
Coefficient of variation (CV)1.581438338
Kurtosis5.085760619
Mean7.079786678
Median Absolute Deviation (MAD)3.190558672
Skewness2.031619836
Sum4127.515633
Variance125.3559262
MonotonicityNot monotonic
2023-02-02T09:31:04.111596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.501243 2
 
0.3%
1.503466299 2
 
0.3%
3.389821284 2
 
0.3%
3.32876118 2
 
0.3%
3.4816236 2
 
0.3%
13.77483166 1
 
0.2%
13.85777542 1
 
0.2%
13.88099796 1
 
0.2%
13.12708044 1
 
0.2%
13.18965529 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-20.26525139 1
0.2%
-19.24452068 1
0.2%
-14.3356648 1
0.2%
-14.29137696 1
0.2%
-6.584687582 1
0.2%
ValueCountFrequency (%)
67.19242499 1
0.2%
64.60156166 1
0.2%
55.63879365 1
0.2%
55.48718747 1
0.2%
51.81566575 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.391323328
Minimum-10.62830657
Maximum60.3087642
Zeros10
Zeros (%)1.7%
Negative112
Negative (%)19.2%
Memory size4.7 KiB
2023-02-02T09:31:04.573390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10.62830657
5-th percentile-1.062618322
Q10.1014632653
median2.4182
Q313.59668098
95-th percentile28.14891178
Maximum60.3087642
Range70.93707077
Interquartile range (IQR)13.49521771

Descriptive statistics

Standard deviation10.73027594
Coefficient of variation (CV)1.451739488
Kurtosis2.574993409
Mean7.391323328
Median Absolute Deviation (MAD)2.626904082
Skewness1.600008967
Sum4309.1415
Variance115.1388218
MonotonicityNot monotonic
2023-02-02T09:31:05.391533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
3.439847 2
 
0.3%
2.983368724 2
 
0.3%
3.056608148 2
 
0.3%
2.416204959 2
 
0.3%
1.606661983 2
 
0.3%
7.054721088 1
 
0.2%
17.46496211 1
 
0.2%
6.628776756 1
 
0.2%
6.101012721 1
 
0.2%
Other values (559) 559
95.9%
ValueCountFrequency (%)
-10.62830657 1
0.2%
-9.80118372 1
0.2%
-6.205519102 1
0.2%
-5.890515513 1
0.2%
-5.682226353 1
0.2%
ValueCountFrequency (%)
60.3087642 1
0.2%
53.15574062 1
0.2%
52.15856221 1
0.2%
51.024 1
0.2%
49.92254072 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.544859006
Minimum-3.226948148
Maximum73.48823861
Zeros32
Zeros (%)5.5%
Negative63
Negative (%)10.8%
Memory size4.7 KiB
2023-02-02T09:31:06.281420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3.226948148
5-th percentile-0.4979307659
Q10.2502491852
median2.275688889
Q312.87058364
95-th percentile27.36428206
Maximum73.48823861
Range76.71518676
Interquartile range (IQR)12.62033446

Descriptive statistics

Standard deviation11.0110719
Coefficient of variation (CV)1.459413873
Kurtosis4.854119532
Mean7.544859006
Median Absolute Deviation (MAD)2.275688889
Skewness1.971304041
Sum4398.652801
Variance121.2437044
MonotonicityNot monotonic
2023-02-02T09:31:07.003342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
2.937822519 2
 
0.3%
2.441666667 2
 
0.3%
2.733545267 2
 
0.3%
1.644870523 2
 
0.3%
3.955631 2
 
0.3%
3.930928418 1
 
0.2%
0.03043567347 1
 
0.2%
-1.844922546 1
 
0.2%
-2.713379358 1
 
0.2%
Other values (537) 537
92.1%
ValueCountFrequency (%)
-3.226948148 1
0.2%
-2.969658035 1
0.2%
-2.713379358 1
0.2%
-2.011105325 1
0.2%
-1.909081633 1
0.2%
ValueCountFrequency (%)
73.48823861 1
0.2%
62.73907729 1
0.2%
56.34942942 1
0.2%
56.31430072 1
0.2%
52.9371 1
0.2%
Distinct466
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.532784472
Minimum-17.02350645
Maximum33.18894711
Zeros109
Zeros (%)18.7%
Negative64
Negative (%)11.0%
Memory size4.7 KiB
2023-02-02T09:31:08.018452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-17.02350645
5-th percentile-0.4637970721
Q10
median0.934004
Q33.644317149
95-th percentile9.813843833
Maximum33.18894711
Range50.21245356
Interquartile range (IQR)3.644317149

Descriptive statistics

Standard deviation4.411317271
Coefficient of variation (CV)1.741686795
Kurtosis11.87265438
Mean2.532784472
Median Absolute Deviation (MAD)1.089154025
Skewness2.271687912
Sum1476.613347
Variance19.45972007
MonotonicityNot monotonic
2023-02-02T09:31:08.662044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
2.273393827 2
 
0.3%
2.455260741 2
 
0.3%
3.198468555 2
 
0.3%
2.97848795 2
 
0.3%
2.602241 2
 
0.3%
-1.605332 2
 
0.3%
2.416707163 2
 
0.3%
2.938812408 2
 
0.3%
1.514615152 2
 
0.3%
Other values (456) 456
78.2%
ValueCountFrequency (%)
-17.02350645 1
0.2%
-15.71271856 1
0.2%
-11.12335 1
0.2%
-6.037695595 1
0.2%
-6.00595033 1
0.2%
ValueCountFrequency (%)
33.18894711 1
0.2%
31.11479246 1
0.2%
26.73796667 1
0.2%
24.68931191 1
0.2%
24.01132313 1
0.2%
Distinct383
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8794083106
Minimum-123.2529745
Maximum26.79184793
Zeros193
Zeros (%)33.1%
Negative45
Negative (%)7.7%
Memory size4.7 KiB
2023-02-02T09:31:09.535180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-123.2529745
5-th percentile-0.3208730425
Q10
median0.3145278107
Q32.4244087
95-th percentile8.049358377
Maximum26.79184793
Range150.0448224
Interquartile range (IQR)2.4244087

Descriptive statistics

Standard deviation10.46140588
Coefficient of variation (CV)11.89595976
Kurtosis99.74035889
Mean0.8794083106
Median Absolute Deviation (MAD)0.3661220003
Skewness-9.303994869
Sum512.6950451
Variance109.4410129
MonotonicityNot monotonic
2023-02-02T09:31:10.300136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
1.896769972 2
 
0.3%
1.972698963 2
 
0.3%
2.930500562 2
 
0.3%
2.788460786 2
 
0.3%
2.82744225 2
 
0.3%
1.777339 2
 
0.3%
2.846175 2
 
0.3%
1.38435978 2
 
0.3%
2.422520833 1
 
0.2%
Other values (373) 373
64.0%
ValueCountFrequency (%)
-123.2529745 1
0.2%
-121.0904657 1
0.2%
-101.8870127 1
0.2%
-101.8214446 1
0.2%
-70.43630517 1
0.2%
ValueCountFrequency (%)
26.79184793 1
0.2%
24.6653638 1
0.2%
19.6517415 1
0.2%
19.49403657 1
0.2%
16.97143333 1
0.2%
Distinct531
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.55022681
Minimum1.218247917
Maximum65.6031047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:31:11.009608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.218247917
5-th percentile1.635121587
Q15.129884341
median13.29389697
Q319.58830743
95-th percentile27.85566676
Maximum65.6031047
Range64.38485678
Interquartile range (IQR)14.45842309

Descriptive statistics

Standard deviation9.761240057
Coefficient of variation (CV)0.7203746618
Kurtosis3.154776301
Mean13.55022681
Median Absolute Deviation (MAD)7.203026002
Skewness1.14127278
Sum7899.782232
Variance95.28180746
MonotonicityNot monotonic
2023-02-02T09:31:11.779025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.12826364 3
 
0.5%
18.91930526 3
 
0.5%
18.8349975 3
 
0.5%
20.20796744 3
 
0.5%
19.53019 3
 
0.5%
20.62848085 3
 
0.5%
2.631386207 2
 
0.3%
12.09649714 2
 
0.3%
18.0225 2
 
0.3%
15.84653667 2
 
0.3%
Other values (521) 557
95.5%
ValueCountFrequency (%)
1.218247917 1
0.2%
1.278262745 1
0.2%
1.290932609 1
0.2%
1.300371429 1
0.2%
1.313593548 1
0.2%
ValueCountFrequency (%)
65.6031047 1
0.2%
60.40479407 1
0.2%
60.06043248 1
0.2%
56.269275 1
0.2%
55.44379175 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1052543
Minimum-4.628073525
Maximum2.077953061
Zeros0
Zeros (%)0.0%
Negative460
Negative (%)78.9%
Memory size4.7 KiB
2023-02-02T09:31:12.678949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.628073525
5-th percentile-4.222741502
Q1-2.408043143
median-0.6567111111
Q3-0.06656106122
95-th percentile0.4913349932
Maximum2.077953061
Range6.706026587
Interquartile range (IQR)2.341482082

Descriptive statistics

Standard deviation1.484966199
Coefficient of variation (CV)-1.343551615
Kurtosis-0.3126264987
Mean-1.1052543
Median Absolute Deviation (MAD)0.7108362937
Skewness-0.6473589007
Sum-644.3632566
Variance2.205124611
MonotonicityNot monotonic
2023-02-02T09:31:13.352804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6942603893 3
 
0.5%
-0.7613061983 3
 
0.5%
-1.045275063 3
 
0.5%
-1.40705984 2
 
0.3%
-1.161293937 2
 
0.3%
-3.083895661 2
 
0.3%
-0.2066029149 2
 
0.3%
-0.02951836735 2
 
0.3%
-4.271351562 2
 
0.3%
-0.4763438017 2
 
0.3%
Other values (535) 560
96.1%
ValueCountFrequency (%)
-4.628073525 1
0.2%
-4.5959 1
0.2%
-4.551244444 1
0.2%
-4.481954631 1
0.2%
-4.403872911 1
0.2%
ValueCountFrequency (%)
2.077953061 1
0.2%
2.077953061 1
0.2%
2.073188203 1
0.2%
2.049735728 1
0.2%
2.034440363 1
0.2%
Distinct576
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.63869602
Minimum-4.406153119
Maximum59.49030789
Zeros0
Zeros (%)0.0%
Negative92
Negative (%)15.8%
Memory size4.7 KiB
2023-02-02T09:31:13.962865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.406153119
5-th percentile-0.60818375
Q12.498042564
median9.716430612
Q315.21179877
95-th percentile35.31635307
Maximum59.49030789
Range63.89646101
Interquartile range (IQR)12.71375621

Descriptive statistics

Standard deviation10.48688429
Coefficient of variation (CV)0.9857302311
Kurtosis2.646400241
Mean10.63869602
Median Absolute Deviation (MAD)6.309813138
Skewness1.440084715
Sum6202.359783
Variance109.9747421
MonotonicityNot monotonic
2023-02-02T09:31:14.747931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.234292899 2
 
0.3%
16.15186178 2
 
0.3%
10.003116 2
 
0.3%
8.523314876 2
 
0.3%
29.65094944 2
 
0.3%
3.429598667 2
 
0.3%
7.1419 2
 
0.3%
12.78569475 1
 
0.2%
12.33326 1
 
0.2%
15.13842725 1
 
0.2%
Other values (566) 566
97.1%
ValueCountFrequency (%)
-4.406153119 1
0.2%
-2.107032647 1
0.2%
-1.888155556 1
0.2%
-1.703041454 1
0.2%
-1.222810651 1
0.2%
ValueCountFrequency (%)
59.49030789 1
0.2%
54.32023064 1
0.2%
53.6610627 1
0.2%
48.89419375 1
0.2%
47.89734495 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.90694633
Minimum-4.514311728
Maximum62.80063223
Zeros0
Zeros (%)0.0%
Negative150
Negative (%)25.7%
Memory size4.7 KiB
2023-02-02T09:31:15.821368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.514311728
5-th percentile-0.8884893974
Q1-0.002119822485
median3.319406821
Q321.79105348
95-th percentile36.55515174
Maximum62.80063223
Range67.31494396
Interquartile range (IQR)21.7931733

Descriptive statistics

Standard deviation13.65587456
Coefficient of variation (CV)1.252034634
Kurtosis0.4395578617
Mean10.90694633
Median Absolute Deviation (MAD)3.962987083
Skewness1.083063429
Sum6358.749712
Variance186.48291
MonotonicityNot monotonic
2023-02-02T09:31:16.562151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.711121333 2
 
0.3%
1.738301653 2
 
0.3%
16.931304 2
 
0.3%
12.7304 2
 
0.3%
14.96935041 2
 
0.3%
3.90701405 1
 
0.2%
3.84421426 1
 
0.2%
2.897633333 1
 
0.2%
19.58833333 1
 
0.2%
23.6028173 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-4.514311728 1
0.2%
-3.936024395 1
0.2%
-3.63104506 1
0.2%
-2.818255078 1
0.2%
-2.717759215 1
0.2%
ValueCountFrequency (%)
62.80063223 1
0.2%
60.50727735 1
0.2%
59.13201812 1
0.2%
54.68475 1
0.2%
53.00995606 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.751488301
Minimum-23.68539595
Maximum76.32830317
Zeros0
Zeros (%)0.0%
Negative127
Negative (%)21.8%
Memory size4.7 KiB
2023-02-02T09:31:18.031914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-23.68539595
5-th percentile-1.478693914
Q10.2101335744
median3.342849861
Q310.4906375
95-th percentile36.3314
Maximum76.32830317
Range100.0136991
Interquartile range (IQR)10.28050393

Descriptive statistics

Standard deviation12.62462165
Coefficient of variation (CV)1.628670671
Kurtosis5.410358796
Mean7.751488301
Median Absolute Deviation (MAD)3.514068726
Skewness2.107003723
Sum4519.11768
Variance159.3810718
MonotonicityNot monotonic
2023-02-02T09:31:18.779986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.074735889 2
 
0.3%
1.761565083 2
 
0.3%
3.713984 2
 
0.3%
3.741088889 2
 
0.3%
3.783239669 2
 
0.3%
16.28839695 1
 
0.2%
16.37613626 1
 
0.2%
16.299975 1
 
0.2%
12.737944 1
 
0.2%
12.85579281 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-23.68539595 1
0.2%
-22.58933125 1
0.2%
-17.2733676 1
0.2%
-17.1939343 1
0.2%
-8.966537291 1
0.2%
ValueCountFrequency (%)
76.32830317 1
0.2%
73.23338444 1
0.2%
63.409625 1
0.2%
62.00143104 1
0.2%
58.87091341 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.238004144
Minimum-12.8209425
Maximum68.88576238
Zeros10
Zeros (%)1.7%
Negative128
Negative (%)22.0%
Memory size4.7 KiB
2023-02-02T09:31:19.454977image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-12.8209425
5-th percentile-1.155705259
Q10.08086805556
median2.719715335
Q315.65862597
95-th percentile31.16061891
Maximum68.88576238
Range81.70670488
Interquartile range (IQR)15.57775792

Descriptive statistics

Standard deviation12.04586092
Coefficient of variation (CV)1.4622305
Kurtosis2.728318245
Mean8.238004144
Median Absolute Deviation (MAD)2.961756755
Skewness1.617427117
Sum4802.756416
Variance145.1027653
MonotonicityNot monotonic
2023-02-02T09:31:20.158371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
3.256666667 2
 
0.3%
20.31462857 2
 
0.3%
2.679208264 2
 
0.3%
1.877321281 2
 
0.3%
4.039129667 2
 
0.3%
3.38112 2
 
0.3%
13.14775365 1
 
0.2%
8.113874667 1
 
0.2%
-6.538350122 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-12.8209425 1
0.2%
-12.01729375 1
0.2%
-8.240562374 1
0.2%
-7.405894192 1
0.2%
-6.538350122 1
0.2%
ValueCountFrequency (%)
68.88576238 1
0.2%
60.249375 1
0.2%
60.21252773 1
0.2%
56.6919 1
0.2%
56.25189675 1
0.2%
Distinct546
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.632085411
Minimum-3.435648148
Maximum83.02529861
Zeros32
Zeros (%)5.5%
Negative66
Negative (%)11.3%
Memory size4.7 KiB
2023-02-02T09:31:21.083366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3.435648148
5-th percentile-0.4003936921
Q10.3015211463
median2.507403403
Q315.03612349
95-th percentile31.02205885
Maximum83.02529861
Range86.46094676
Interquartile range (IQR)14.73460235

Descriptive statistics

Standard deviation12.64112586
Coefficient of variation (CV)1.464434752
Kurtosis4.852684717
Mean8.632085411
Median Absolute Deviation (MAD)2.507403403
Skewness1.973642425
Sum5032.505794
Variance159.798063
MonotonicityNot monotonic
2023-02-02T09:31:21.813961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
24.61802659 2
 
0.3%
3.200304 2
 
0.3%
2.764745455 2
 
0.3%
2.938666667 2
 
0.3%
1.884356405 2
 
0.3%
4.367587889 2
 
0.3%
3.803205762 1
 
0.2%
-1.796553123 1
 
0.2%
-2.793756871 1
 
0.2%
Other values (536) 536
91.9%
ValueCountFrequency (%)
-3.435648148 1
0.2%
-3.19855885 1
0.2%
-2.793756871 1
0.2%
-2.060510059 1
0.2%
-1.796553123 1
0.2%
ValueCountFrequency (%)
83.02529861 1
0.2%
74.10369375 1
0.2%
64.489762 1
0.2%
64.42550147 1
0.2%
60.63456535 1
0.2%
Distinct467
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.709883854
Minimum-25.1577851
Maximum37.64027163
Zeros109
Zeros (%)18.7%
Negative78
Negative (%)13.4%
Memory size4.7 KiB
2023-02-02T09:31:22.468865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-25.1577851
5-th percentile-0.5287609749
Q10
median0.9886040816
Q33.905799052
95-th percentile10.66143067
Maximum37.64027163
Range62.79805672
Interquartile range (IQR)3.905799052

Descriptive statistics

Standard deviation5.051684945
Coefficient of variation (CV)1.864170281
Kurtosis13.27563214
Mean2.709883854
Median Absolute Deviation (MAD)1.154929884
Skewness1.773726089
Sum1579.862287
Variance25.51952078
MonotonicityNot monotonic
2023-02-02T09:31:23.123611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
2.3104 2
 
0.3%
2.66448 2
 
0.3%
3.607662305 2
 
0.3%
2.872833444 2
 
0.3%
-1.609245333 2
 
0.3%
2.588409917 2
 
0.3%
3.18591698 2
 
0.3%
1.733318182 2
 
0.3%
5.328908015 1
 
0.2%
Other values (457) 457
78.4%
ValueCountFrequency (%)
-25.1577851 1
0.2%
-23.9884875 1
0.2%
-13.85785406 1
0.2%
-13.8018714 1
0.2%
-12.88161667 1
0.2%
ValueCountFrequency (%)
37.64027163 1
0.2%
35.84672866 1
0.2%
30.14548281 1
0.2%
26.70435 1
0.2%
25.30258503 1
0.2%
Distinct384
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8825065356
Minimum-146.073014
Maximum30.3466832
Zeros193
Zeros (%)33.1%
Negative56
Negative (%)9.6%
Memory size4.7 KiB
2023-02-02T09:31:23.952430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-146.073014
5-th percentile-0.2768373954
Q10
median0.3024214158
Q32.621012972
95-th percentile9.112799251
Maximum30.3466832
Range176.4196972
Interquartile range (IQR)2.621012972

Descriptive statistics

Standard deviation12.37439188
Coefficient of variation (CV)14.02186996
Kurtosis101.3809249
Mean0.8825065356
Median Absolute Deviation (MAD)0.3391800006
Skewness-9.46330268
Sum514.5013102
Variance153.1255744
MonotonicityNot monotonic
2023-02-02T09:31:24.676012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
2.029884298 2
 
0.3%
2.128656 2
 
0.3%
3.305334155 2
 
0.3%
2.895953062 2
 
0.3%
1.901919889 2
 
0.3%
3.200304 2
 
0.3%
1.582279959 2
 
0.3%
1.253750863 1
 
0.2%
0.3024214158 1
 
0.2%
Other values (374) 374
64.2%
ValueCountFrequency (%)
-146.073014 1
0.2%
-143.3540812 1
0.2%
-121.668004 1
0.2%
-121.5427675 1
0.2%
-86.42031325 1
0.2%
ValueCountFrequency (%)
30.3466832 1
0.2%
28.12796231 1
0.2%
21.84220076 1
0.2%
20.9125125 1
0.2%
19.58004475 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.33484009
Minimum1.579987801
Maximum59.72145646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:31:25.438828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.579987801
5-th percentile5.06646201
Q110.16061226
median13.27329464
Q317.2779013
95-th percentile26.11955194
Maximum59.72145646
Range58.14146866
Interquartile range (IQR)7.117289046

Descriptive statistics

Standard deviation7.301419583
Coefficient of variation (CV)0.5093478221
Kurtosis7.642907452
Mean14.33484009
Median Absolute Deviation (MAD)3.432745584
Skewness1.995272907
Sum8357.211775
Variance53.31072792
MonotonicityNot monotonic
2023-02-02T09:31:26.108615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.94740943 4
 
0.7%
14.40244585 3
 
0.5%
14.60042832 3
 
0.5%
13.93312785 3
 
0.5%
15.27604737 3
 
0.5%
15.0751496 3
 
0.5%
7.024482102 2
 
0.3%
17.3905508 2
 
0.3%
6.552303642 2
 
0.3%
21.04529704 2
 
0.3%
Other values (516) 556
95.4%
ValueCountFrequency (%)
1.579987801 1
0.2%
1.726479455 1
0.2%
2.324291948 1
0.2%
2.430975702 1
0.2%
2.839728487 1
0.2%
ValueCountFrequency (%)
59.72145646 1
0.2%
54.47042593 1
0.2%
52.5149671 2
0.3%
50.32200125 1
0.2%
41.35841066 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.656461945
Minimum-9.677218564
Maximum34.7858671
Zeros0
Zeros (%)0.0%
Negative537
Negative (%)92.1%
Memory size4.7 KiB
2023-02-02T09:31:27.102265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9.677218564
5-th percentile-8.08759835
Q1-3.980157922
median-2.765660438
Q3-1.79181595
95-th percentile1.638698794
Maximum34.7858671
Range44.46308566
Interquartile range (IQR)2.188341971

Descriptive statistics

Standard deviation4.155640136
Coefficient of variation (CV)-1.564351465
Kurtosis45.22381321
Mean-2.656461945
Median Absolute Deviation (MAD)1.114130089
Skewness5.506664872
Sum-1548.717314
Variance17.26934494
MonotonicityNot monotonic
2023-02-02T09:31:28.053790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.277580758 3
 
0.5%
-3.186136878 3
 
0.5%
-3.184224772 3
 
0.5%
-5.303805286 2
 
0.3%
-5.013924226 2
 
0.3%
-2.711546576 2
 
0.3%
-8.838849157 2
 
0.3%
-3.24269845 2
 
0.3%
-7.904992451 2
 
0.3%
-3.252786223 2
 
0.3%
Other values (532) 560
96.1%
ValueCountFrequency (%)
-9.677218564 1
0.2%
-9.139903546 1
0.2%
-9.122344345 1
0.2%
-8.922755585 1
0.2%
-8.838849157 2
0.3%
ValueCountFrequency (%)
34.7858671 1
0.2%
33.131885 1
0.2%
32.54082282 2
0.3%
31.70563935 1
0.2%
14.31574942 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2050214646
Minimum-11.27673497
Maximum24.37745267
Zeros0
Zeros (%)0.0%
Negative325
Negative (%)55.7%
Memory size4.7 KiB
2023-02-02T09:31:28.925541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-11.27673497
5-th percentile-5.628504429
Q1-2.028094578
median-0.3628891917
Q31.366748876
95-th percentile4.571558173
Maximum24.37745267
Range35.65418764
Interquartile range (IQR)3.394843453

Descriptive statistics

Standard deviation3.797373415
Coefficient of variation (CV)-18.52183342
Kurtosis10.33483441
Mean-0.2050214646
Median Absolute Deviation (MAD)1.708480024
Skewness1.827630497
Sum-119.5275138
Variance14.42004485
MonotonicityNot monotonic
2023-02-02T09:31:30.018340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.517557 2
 
0.3%
4.736574397 2
 
0.3%
-2.448913392 2
 
0.3%
-1.064251281 2
 
0.3%
-1.431627248 2
 
0.3%
-4.268813956 2
 
0.3%
-8.006029048 2
 
0.3%
-2.026181306 2
 
0.3%
-2.885666612 2
 
0.3%
-1.630001785 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
-11.27673497 1
0.2%
-11.02643916 1
0.2%
-9.648725777 1
0.2%
-9.606327643 1
0.2%
-9.584827986 1
0.2%
ValueCountFrequency (%)
24.37745267 1
0.2%
22.87806327 1
0.2%
22.30623528 1
0.2%
20.42202306 1
0.2%
17.73795075 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.887063831
Minimum-14.78003177
Maximum8.884564183
Zeros0
Zeros (%)0.0%
Negative447
Negative (%)76.7%
Memory size4.7 KiB
2023-02-02T09:31:30.671212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-14.78003177
5-th percentile-7.382180065
Q1-3.417231033
median-1.715131793
Q3-0.09697692982
95-th percentile2.345589113
Maximum8.884564183
Range23.66459595
Interquartile range (IQR)3.320254103

Descriptive statistics

Standard deviation2.886538154
Coefficient of variation (CV)-1.529645212
Kurtosis1.780434389
Mean-1.887063831
Median Absolute Deviation (MAD)1.662084682
Skewness-0.6116106679
Sum-1100.158214
Variance8.332102514
MonotonicityNot monotonic
2023-02-02T09:31:31.215315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6603566811 2
 
0.3%
-2.119424407 2
 
0.3%
-2.473720075 2
 
0.3%
-1.227605771 2
 
0.3%
-1.228005172 2
 
0.3%
-2.166967246 2
 
0.3%
1.760868654 1
 
0.2%
-12.09360844 1
 
0.2%
-6.452785566 1
 
0.2%
-12.74435909 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-14.78003177 1
0.2%
-12.74435909 1
0.2%
-12.09360844 1
0.2%
-11.8888115 1
0.2%
-11.83490259 1
0.2%
ValueCountFrequency (%)
8.884564183 1
0.2%
6.37546232 1
0.2%
5.361387525 1
0.2%
5.099117636 1
0.2%
4.464180139 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.529094539
Minimum-25.05964975
Maximum26.16482086
Zeros0
Zeros (%)0.0%
Negative345
Negative (%)59.2%
Memory size4.7 KiB
2023-02-02T09:31:31.725632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-25.05964975
5-th percentile-8.895138756
Q1-3.983274985
median-0.8072671141
Q30.5630772683
95-th percentile2.6563577
Maximum26.16482086
Range51.22447062
Interquartile range (IQR)4.546352254

Descriptive statistics

Standard deviation4.623089547
Coefficient of variation (CV)-3.023416426
Kurtosis9.88723214
Mean-1.529094539
Median Absolute Deviation (MAD)1.814651664
Skewness1.062444679
Sum-891.4621164
Variance21.37295696
MonotonicityNot monotonic
2023-02-02T09:31:32.213463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2659180804 2
 
0.3%
0.1883268818 2
 
0.3%
0.2745010094 2
 
0.3%
-1.119451746 2
 
0.3%
0.313631553 2
 
0.3%
-5.611151184 1
 
0.2%
-5.587436222 1
 
0.2%
-5.729055331 1
 
0.2%
-4.701526577 1
 
0.2%
-5.808229606 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-25.05964975 1
0.2%
-16.47476201 1
0.2%
-15.36042958 1
0.2%
-14.39647295 1
0.2%
-14.28236598 1
0.2%
ValueCountFrequency (%)
26.16482086 1
0.2%
24.70221645 1
0.2%
23.83849917 1
0.2%
23.66274473 1
0.2%
23.35474794 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005390787983
Minimum-29.30503594
Maximum23.52695355
Zeros10
Zeros (%)1.7%
Negative276
Negative (%)47.3%
Memory size4.7 KiB
2023-02-02T09:31:32.741990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-29.30503594
5-th percentile-5.860205924
Q1-0.6941062094
median0.02524236597
Q31.463477071
95-th percentile4.150452117
Maximum23.52695355
Range52.83198949
Interquartile range (IQR)2.157583281

Descriptive statistics

Standard deviation4.069943698
Coefficient of variation (CV)754.9812218
Kurtosis20.82623536
Mean0.005390787983
Median Absolute Deviation (MAD)1.125306404
Skewness-1.769753044
Sum3.142829394
Variance16.5644417
MonotonicityNot monotonic
2023-02-02T09:31:33.341716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
-0.2286033013 2
 
0.3%
-0.5514741794 2
 
0.3%
0.2998739803 2
 
0.3%
-0.3098553634 2
 
0.3%
-0.5131212502 2
 
0.3%
-0.2741576746 2
 
0.3%
1.231821877 1
 
0.2%
-0.6113679047 1
 
0.2%
2.025659362 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-29.30503594 1
0.2%
-28.8353414 1
0.2%
-27.36078414 1
0.2%
-26.52523261 1
0.2%
-21.54503634 1
0.2%
ValueCountFrequency (%)
23.52695355 1
0.2%
23.23978693 1
0.2%
19.52806831 1
0.2%
18.09579663 1
0.2%
10.84978017 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7730097288
Minimum-14.67186814
Maximum20.03101437
Zeros32
Zeros (%)5.5%
Negative198
Negative (%)34.0%
Memory size4.7 KiB
2023-02-02T09:31:33.857215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-14.67186814
5-th percentile-4.83246708
Q1-0.5461154614
median0.2467182362
Q31.873582413
95-th percentile5.80911126
Maximum20.03101437
Range34.70288252
Interquartile range (IQR)2.419697874

Descriptive statistics

Standard deviation3.641888215
Coefficient of variation (CV)4.711309677
Kurtosis7.133423086
Mean0.7730097288
Median Absolute Deviation (MAD)1.383353556
Skewness1.397138774
Sum450.6646719
Variance13.26334977
MonotonicityNot monotonic
2023-02-02T09:31:34.442203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
0.109407103 2
 
0.3%
-1.310960564 2
 
0.3%
-0.1335272964 2
 
0.3%
0.04860751929 2
 
0.3%
0.2237174327 2
 
0.3%
5.319160095 1
 
0.2%
-1.415413146 1
 
0.2%
-0.3592749301 1
 
0.2%
1.677886646 1
 
0.2%
Other values (537) 537
92.1%
ValueCountFrequency (%)
-14.67186814 1
0.2%
-9.371702307 1
0.2%
-8.731220057 1
0.2%
-8.639664432 1
0.2%
-8.392599069 1
0.2%
ValueCountFrequency (%)
20.03101437 1
0.2%
19.9514884 1
0.2%
18.21462142 1
0.2%
16.54943631 1
0.2%
16.15579295 1
0.2%
Distinct468
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1006237698
Minimum-45.64510512
Maximum13.58591005
Zeros109
Zeros (%)18.7%
Negative159
Negative (%)27.3%
Memory size4.7 KiB
2023-02-02T09:31:35.131452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-45.64510512
5-th percentile-3.210296074
Q1-0.04029927983
median0.05233846154
Q31.017988127
95-th percentile2.644264395
Maximum13.58591005
Range59.23101517
Interquartile range (IQR)1.058287407

Descriptive statistics

Standard deviation4.408434268
Coefficient of variation (CV)-43.8110625
Kurtosis72.73515886
Mean-0.1006237698
Median Absolute Deviation (MAD)0.5885775645
Skewness-7.637938897
Sum-58.66365781
Variance19.4342927
MonotonicityNot monotonic
2023-02-02T09:31:35.864012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
1.284019354 2
 
0.3%
1.345088747 2
 
0.3%
0.0509414308 2
 
0.3%
0.103328832 2
 
0.3%
0.1441912398 2
 
0.3%
0.1375908882 2
 
0.3%
0.04733745549 2
 
0.3%
-2.249962602 1
 
0.2%
0.3943466564 1
 
0.2%
Other values (458) 458
78.6%
ValueCountFrequency (%)
-45.64510512 1
0.2%
-43.12599093 1
0.2%
-43.0014593 1
0.2%
-41.9804002 1
0.2%
-38.48376162 1
0.2%
ValueCountFrequency (%)
13.58591005 1
0.2%
12.57948576 1
0.2%
8.087433641 1
0.2%
8.034277352 1
0.2%
7.371849451 1
0.2%
Distinct386
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1103858421
Minimum-10.07304267
Maximum13.32742773
Zeros193
Zeros (%)33.1%
Negative135
Negative (%)23.2%
Memory size4.7 KiB
2023-02-02T09:31:36.781011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10.07304267
5-th percentile-3.215359746
Q10
median0
Q30.6606253529
95-th percentile3.043563836
Maximum13.32742773
Range23.4004704
Interquartile range (IQR)0.6606253529

Descriptive statistics

Standard deviation2.277093644
Coefficient of variation (CV)20.62849366
Kurtosis9.030573693
Mean0.1103858421
Median Absolute Deviation (MAD)0.2743123629
Skewness-0.3364522229
Sum64.35494596
Variance5.185155463
MonotonicityNot monotonic
2023-02-02T09:31:38.395649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
0.1961833712 2
 
0.3%
0.09725056109 2
 
0.3%
1.38300687 2
 
0.3%
-0.1744311544 2
 
0.3%
0.04606739168 2
 
0.3%
4.60649941 1
 
0.2%
2.04071485 1
 
0.2%
1.564848519 1
 
0.2%
-0.4665207143 1
 
0.2%
Other values (376) 376
64.5%
ValueCountFrequency (%)
-10.07304267 1
0.2%
-8.736561344 1
0.2%
-8.693682107 1
0.2%
-8.670445625 1
0.2%
-8.63092665 1
0.2%
ValueCountFrequency (%)
13.32742773 1
0.2%
13.24237297 1
0.2%
10.10803843 1
0.2%
8.302110954 1
0.2%
7.976203634 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.5349409
Minimum10.50177336
Maximum677.4893639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:31:39.378187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10.50177336
5-th percentile29.21550643
Q161.89756192
median129.5476277
Q3175.3134022
95-th percentile265.8540043
Maximum677.4893639
Range666.9875905
Interquartile range (IQR)113.4158402

Descriptive statistics

Standard deviation87.57297195
Coefficient of variation (CV)0.6607538464
Kurtosis8.043222171
Mean132.5349409
Median Absolute Deviation (MAD)58.26007185
Skewness1.879775033
Sum77267.87052
Variance7669.025417
MonotonicityNot monotonic
2023-02-02T09:31:40.223308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169.4836185 4
 
0.7%
165.6207932 3
 
0.5%
164.5910368 3
 
0.5%
159.5145732 3
 
0.5%
154.2147282 3
 
0.5%
164.5829222 3
 
0.5%
49.97578462 2
 
0.3%
142.6421002 2
 
0.3%
61.91958817 2
 
0.3%
170.5509369 2
 
0.3%
Other values (519) 556
95.4%
ValueCountFrequency (%)
10.50177336 1
0.2%
12.16326217 1
0.2%
12.18313037 1
0.2%
14.84521023 1
0.2%
16.71668577 1
0.2%
ValueCountFrequency (%)
677.4893639 1
0.2%
641.5657915 1
0.2%
638.4433514 1
0.2%
609.5031352 1
0.2%
604.4245701 1
0.2%
Distinct548
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-35.03803983
Minimum-94.03420448
Maximum18.23362272
Zeros0
Zeros (%)0.0%
Negative550
Negative (%)94.3%
Memory size4.7 KiB
2023-02-02T09:31:40.964992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-94.03420448
5-th percentile-82.69056545
Q1-45.66700498
median-30.60457458
Q3-18.51708398
95-th percentile1.016038054
Maximum18.23362272
Range112.2678272
Interquartile range (IQR)27.149921

Descriptive statistics

Standard deviation24.08915049
Coefficient of variation (CV)-0.6875142162
Kurtosis-0.3393910129
Mean-35.03803983
Median Absolute Deviation (MAD)13.32605015
Skewness-0.5998581063
Sum-20427.17722
Variance580.2871714
MonotonicityNot monotonic
2023-02-02T09:31:41.633407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-40.70808776 3
 
0.5%
-41.41056129 3
 
0.5%
-20.41476087 2
 
0.3%
-26.17432535 2
 
0.3%
-44.78344883 2
 
0.3%
-43.93062473 2
 
0.3%
-83.90903307 2
 
0.3%
-34.66380514 2
 
0.3%
-26.08995045 2
 
0.3%
-31.27893147 2
 
0.3%
Other values (538) 561
96.2%
ValueCountFrequency (%)
-94.03420448 1
0.2%
-92.50233661 1
0.2%
-92.25279668 1
0.2%
-91.85629613 1
0.2%
-91.69618384 1
0.2%
ValueCountFrequency (%)
18.23362272 1
0.2%
12.55519252 1
0.2%
8.847095593 1
0.2%
6.347486729 1
0.2%
6.326976583 1
0.2%
Distinct572
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.24641712
Minimum-56.78270598
Maximum518.7577332
Zeros0
Zeros (%)0.0%
Negative107
Negative (%)18.4%
Memory size4.7 KiB
2023-02-02T09:31:42.787212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-56.78270598
5-th percentile-18.65964718
Q15.478272887
median31.37121828
Q356.92605219
95-th percentile270.7562899
Maximum518.7577332
Range575.5404392
Interquartile range (IQR)51.4477793

Descriptive statistics

Standard deviation85.89345498
Coefficient of variation (CV)1.583394066
Kurtosis7.585807768
Mean54.24641712
Median Absolute Deviation (MAD)25.85208619
Skewness2.505840074
Sum31625.66118
Variance7377.685608
MonotonicityNot monotonic
2023-02-02T09:31:43.337608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.999281902 2
 
0.3%
31.37121828 2
 
0.3%
8.604449771 2
 
0.3%
7.157956149 2
 
0.3%
-12.21034523 2
 
0.3%
35.82591712 2
 
0.3%
291.9969975 2
 
0.3%
125.940076 2
 
0.3%
34.82926354 2
 
0.3%
249.1144252 2
 
0.3%
Other values (562) 563
96.6%
ValueCountFrequency (%)
-56.78270598 1
0.2%
-49.63134806 1
0.2%
-42.17468393 1
0.2%
-40.87937496 1
0.2%
-34.38422257 1
0.2%
ValueCountFrequency (%)
518.7577332 1
0.2%
517.3538872 1
0.2%
516.6300141 1
0.2%
507.737066 1
0.2%
507.1046979 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.88088687
Minimum-106.0778783
Maximum277.5438912
Zeros0
Zeros (%)0.0%
Negative203
Negative (%)34.8%
Memory size4.7 KiB
2023-02-02T09:31:43.974120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-106.0778783
5-th percentile-28.69424677
Q1-6.822717695
median12.03316608
Q368.97355944
95-th percentile182.3741995
Maximum277.5438912
Range383.6217696
Interquartile range (IQR)75.79627714

Descriptive statistics

Standard deviation66.70896609
Coefficient of variation (CV)1.761019121
Kurtosis1.202095448
Mean37.88088687
Median Absolute Deviation (MAD)26.43164524
Skewness1.284163928
Sum22084.55705
Variance4450.086156
MonotonicityNot monotonic
2023-02-02T09:31:45.115983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.9544274 2
 
0.3%
-3.332142097 2
 
0.3%
29.8401359 2
 
0.3%
11.02524135 2
 
0.3%
14.54649725 2
 
0.3%
-14.36196086 2
 
0.3%
72.12637384 1
 
0.2%
-21.97496179 1
 
0.2%
41.81953284 1
 
0.2%
-56.85352687 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-106.0778783 1
0.2%
-84.67517767 1
0.2%
-84.46659404 1
0.2%
-59.51785126 1
0.2%
-57.46156008 1
0.2%
ValueCountFrequency (%)
277.5438912 1
0.2%
272.2941673 1
0.2%
264.8228319 1
0.2%
260.8962562 1
0.2%
260.5343123 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.476739912
Minimum-182.5887144
Maximum270.4182073
Zeros0
Zeros (%)0.0%
Negative266
Negative (%)45.6%
Memory size4.7 KiB
2023-02-02T09:31:45.987978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-182.5887144
5-th percentile-60.70022509
Q1-17.6298735
median0.7117599236
Q314.7573481
95-th percentile131.838455
Maximum270.4182073
Range453.0069216
Interquartile range (IQR)32.3872216

Descriptive statistics

Standard deviation54.85523776
Coefficient of variation (CV)8.469575513
Kurtosis3.804323508
Mean6.476739912
Median Absolute Deviation (MAD)16.46467678
Skewness1.461824813
Sum3775.939368
Variance3009.097109
MonotonicityNot monotonic
2023-02-02T09:31:46.901252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.61680352 2
 
0.3%
8.932748721 2
 
0.3%
6.473178696 2
 
0.3%
1.140587649 2
 
0.3%
4.4460981 2
 
0.3%
10.13525408 1
 
0.2%
9.895749712 1
 
0.2%
0.3917082272 1
 
0.2%
-59.39858754 1
 
0.2%
-67.18322209 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-182.5887144 1
0.2%
-175.0567154 1
0.2%
-72.29969356 1
0.2%
-72.05983801 1
0.2%
-71.79242252 1
0.2%
ValueCountFrequency (%)
270.4182073 1
0.2%
257.1284934 1
0.2%
246.5957845 1
0.2%
218.6316549 1
0.2%
184.0896846 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8038578568
Minimum-552.5275841
Maximum299.9831229
Zeros10
Zeros (%)1.7%
Negative250
Negative (%)42.9%
Memory size4.7 KiB
2023-02-02T09:31:47.699646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-552.5275841
5-th percentile-53.61967442
Q1-7.396950627
median1.101404415
Q313.5642929
95-th percentile79.9515341
Maximum299.9831229
Range852.5107069
Interquartile range (IQR)20.96124353

Descriptive statistics

Standard deviation65.51675909
Coefficient of variation (CV)81.50291564
Kurtosis34.10087492
Mean0.8038578568
Median Absolute Deviation (MAD)10.95352353
Skewness-3.475963768
Sum468.6491305
Variance4292.445721
MonotonicityNot monotonic
2023-02-02T09:31:48.297343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
1.7%
1.470033768 2
 
0.3%
-27.99324917 2
 
0.3%
8.040955787 2
 
0.3%
4.249309239 2
 
0.3%
27.32012375 2
 
0.3%
2.170510318 2
 
0.3%
-22.88786976 1
 
0.2%
-33.42671988 1
 
0.2%
12.21243303 1
 
0.2%
Other values (558) 558
95.7%
ValueCountFrequency (%)
-552.5275841 1
0.2%
-532.5381596 1
0.2%
-522.7874121 1
0.2%
-488.5085585 1
0.2%
-481.6295842 1
0.2%
ValueCountFrequency (%)
299.9831229 1
0.2%
299.0195856 1
0.2%
258.4271101 1
0.2%
189.3460001 1
0.2%
183.1331549 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.40131913
Minimum-68.88826532
Maximum481.307302
Zeros32
Zeros (%)5.5%
Negative178
Negative (%)30.5%
Memory size4.7 KiB
2023-02-02T09:31:48.938704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-68.88826532
5-th percentile-22.96402826
Q1-1.231684004
median3.473566257
Q329.85278725
95-th percentile167.9235923
Maximum481.307302
Range550.1955673
Interquartile range (IQR)31.08447126

Descriptive statistics

Standard deviation79.28959234
Coefficient of variation (CV)2.012358827
Kurtosis6.529649334
Mean39.40131913
Median Absolute Deviation (MAD)9.179172327
Skewness2.253035919
Sum22970.96905
Variance6286.839453
MonotonicityNot monotonic
2023-02-02T09:31:49.738657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
5.5%
1.797955865 2
 
0.3%
-2.928668681 2
 
0.3%
-2.431084042 2
 
0.3%
4.522351338 2
 
0.3%
9.471425993 2
 
0.3%
5.896820938 1
 
0.2%
-1.611859188 1
 
0.2%
4.447113573 1
 
0.2%
14.36205964 1
 
0.2%
Other values (537) 537
92.1%
ValueCountFrequency (%)
-68.88826532 1
0.2%
-59.37215928 1
0.2%
-57.32523689 1
0.2%
-53.47475211 1
0.2%
-51.07139985 1
0.2%
ValueCountFrequency (%)
481.307302 1
0.2%
441.8265834 1
0.2%
425.3725022 1
0.2%
422.0015073 1
0.2%
416.698741 1
0.2%
Distinct469
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.814783022
Minimum-932.7226605
Maximum176.6964619
Zeros109
Zeros (%)18.7%
Negative153
Negative (%)26.2%
Memory size4.7 KiB
2023-02-02T09:31:50.611102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-932.7226605
5-th percentile-16.35645214
Q1-0.2893811198
median0.2280141931
Q36.439878094
95-th percentile26.74265858
Maximum176.6964619
Range1109.419122
Interquartile range (IQR)6.729259214

Descriptive statistics

Standard deviation87.73458263
Coefficient of variation (CV)-22.99857741
Kurtosis101.8757696
Mean-3.814783022
Median Absolute Deviation (MAD)3.167928118
Skewness-9.883379776
Sum-2224.018502
Variance7697.356989
MonotonicityNot monotonic
2023-02-02T09:31:51.446162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
18.7%
3.956805977 2
 
0.3%
0.8190357217 2
 
0.3%
6.628964193 2
 
0.3%
0.4749090391 2
 
0.3%
0.8478298335 2
 
0.3%
-2.671542224 2
 
0.3%
-47.42245542 1
 
0.2%
-23.16265669 1
 
0.2%
-2.766793915 1
 
0.2%
Other values (459) 459
78.7%
ValueCountFrequency (%)
-932.7226605 1
0.2%
-931.140976 1
0.2%
-929.4992898 1
0.2%
-913.6558927 1
0.2%
-909.8264988 1
0.2%
ValueCountFrequency (%)
176.6964619 1
0.2%
128.9897836 1
0.2%
117.0644559 1
0.2%
110.6907773 1
0.2%
110.402297 1
0.2%
Distinct385
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.321009251
Minimum-950.9235017
Maximum157.0223383
Zeros193
Zeros (%)33.1%
Negative162
Negative (%)27.8%
Memory size4.7 KiB
2023-02-02T09:31:52.373528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-950.9235017
5-th percentile-22.95698075
Q1-0.5980438608
median0
Q31.821695739
95-th percentile13.60630363
Maximum157.0223383
Range1107.94584
Interquartile range (IQR)2.4197396

Descriptive statistics

Standard deviation83.08493966
Coefficient of variation (CV)-13.14425219
Kurtosis104.0897762
Mean-6.321009251
Median Absolute Deviation (MAD)1.177574914
Skewness-9.9491516
Sum-3685.148393
Variance6903.107199
MonotonicityNot monotonic
2023-02-02T09:31:53.145864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
33.1%
-2.99458423 2
 
0.3%
-0.1598844216 2
 
0.3%
0.09120800154 2
 
0.3%
-1.016736328 2
 
0.3%
11.87681939 2
 
0.3%
3.391260616 2
 
0.3%
10.32588987 1
 
0.2%
-2.655366252 1
 
0.2%
0.008049312878 1
 
0.2%
Other values (375) 375
64.3%
ValueCountFrequency (%)
-950.9235017 1
0.2%
-939.2215941 1
0.2%
-865.1872699 1
0.2%
-843.239039 1
0.2%
-774.9672467 1
0.2%
ValueCountFrequency (%)
157.0223383 1
0.2%
127.2383436 1
0.2%
123.9558733 1
0.2%
123.6410647 1
0.2%
117.7197058 1
0.2%
Distinct559
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.305358797
Minimum0.5448924677
Maximum9.071951268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:31:53.857818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5448924677
5-th percentile0.9044849108
Q13.524270528
median5.620699309
Q37.371551882
95-th percentile8.353350059
Maximum9.071951268
Range8.5270588
Interquartile range (IQR)3.847281354

Descriptive statistics

Standard deviation2.338020813
Coefficient of variation (CV)0.4406904231
Kurtosis-1.046616062
Mean5.305358797
Median Absolute Deviation (MAD)1.879034025
Skewness-0.3718111222
Sum3093.024179
Variance5.466341323
MonotonicityNot monotonic
2023-02-02T09:31:54.544749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.169156481 3
 
0.5%
3.962620027 2
 
0.3%
4.984660336 2
 
0.3%
7.323117601 2
 
0.3%
4.841430366 2
 
0.3%
2.247732426 2
 
0.3%
7.717291256 2
 
0.3%
5.908172635 2
 
0.3%
6.159274376 2
 
0.3%
5.442743484 2
 
0.3%
Other values (549) 562
96.4%
ValueCountFrequency (%)
0.5448924677 1
0.2%
0.6586934156 1
0.2%
0.6733022911 1
0.2%
0.6861758878 1
0.2%
0.6976049611 1
0.2%
ValueCountFrequency (%)
9.071951268 1
0.2%
9.029856387 1
0.2%
8.999405116 1
0.2%
8.997465565 1
0.2%
8.823622671 1
0.2%
Distinct574
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8779555855
Minimum-1.972573099
Maximum3.886669334
Zeros0
Zeros (%)0.0%
Negative108
Negative (%)18.5%
Memory size4.7 KiB
2023-02-02T09:31:55.512945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.972573099
5-th percentile-0.6890802985
Q10.2280801193
median0.8465838776
Q31.584802135
95-th percentile2.49450376
Maximum3.886669334
Range5.859242433
Interquartile range (IQR)1.356722016

Descriptive statistics

Standard deviation0.9731580131
Coefficient of variation (CV)1.108436496
Kurtosis-0.174814868
Mean0.8779555855
Median Absolute Deviation (MAD)0.6659312751
Skewness0.07526031635
Sum511.8481064
Variance0.9470365184
MonotonicityNot monotonic
2023-02-02T09:31:56.247684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7365493065 2
 
0.3%
1.023804478 2
 
0.3%
0.1304438668 2
 
0.3%
0.6354271106 2
 
0.3%
-0.3487103724 2
 
0.3%
0.7275947607 2
 
0.3%
-1.032354193 2
 
0.3%
0.1388956173 2
 
0.3%
0.2701187034 2
 
0.3%
-0.4303387409 1
 
0.2%
Other values (564) 564
96.7%
ValueCountFrequency (%)
-1.972573099 1
0.2%
-1.644835346 1
0.2%
-1.557221184 1
0.2%
-1.505267042 1
0.2%
-1.27675457 1
0.2%
ValueCountFrequency (%)
3.886669334 1
0.2%
3.705357143 1
0.2%
3.299677766 1
0.2%
3.197520661 1
0.2%
3.101385061 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.253176037
Minimum-1.017795048
Maximum7.951684194
Zeros0
Zeros (%)0.0%
Negative73
Negative (%)12.5%
Memory size4.7 KiB
2023-02-02T09:31:57.129275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.017795048
5-th percentile-0.1434608959
Q10.7903234839
median2.372475967
Q33.499231451
95-th percentile5.050711596
Maximum7.951684194
Range8.969479242
Interquartile range (IQR)2.708907967

Descriptive statistics

Standard deviation1.700278545
Coefficient of variation (CV)0.7546141612
Kurtosis-0.4894282183
Mean2.253176037
Median Absolute Deviation (MAD)1.288912382
Skewness0.2616639476
Sum1313.601629
Variance2.890947131
MonotonicityNot monotonic
2023-02-02T09:31:58.158170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.377838744 2
 
0.3%
1.432014155 2
 
0.3%
5.351066218 2
 
0.3%
2.366976517 2
 
0.3%
1.976918153 2
 
0.3%
1.243210194 2
 
0.3%
3.036248025 1
 
0.2%
4.031594554 1
 
0.2%
4.456418917 1
 
0.2%
5.236844993 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-1.017795048 1
0.2%
-0.6972285541 1
0.2%
-0.5470575061 1
0.2%
-0.5314412142 1
0.2%
-0.4269192266 1
0.2%
ValueCountFrequency (%)
7.951684194 1
0.2%
7.791666667 1
0.2%
6.993903904 1
0.2%
6.543433596 1
0.2%
6.377109799 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.669609225
Minimum-2.313333333
Maximum7.562934028
Zeros0
Zeros (%)0.0%
Negative174
Negative (%)29.8%
Memory size4.7 KiB
2023-02-02T09:31:59.213590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-2.313333333
5-th percentile-0.8515539876
Q1-0.08121288421
median0.4297969789
Q33.670769052
95-th percentile5.636664405
Maximum7.562934028
Range9.876267361
Interquartile range (IQR)3.751981936

Descriptive statistics

Standard deviation2.256265752
Coefficient of variation (CV)1.351373554
Kurtosis-0.9602003745
Mean1.669609225
Median Absolute Deviation (MAD)1.085424882
Skewness0.6173533852
Sum973.3821781
Variance5.090735143
MonotonicityNot monotonic
2023-02-02T09:32:00.316664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1558641975 2
 
0.3%
0.06849641193 2
 
0.3%
2.556433471 2
 
0.3%
3.459320226 2
 
0.3%
3.355415628 2
 
0.3%
0.3059955617 1
 
0.2%
0.2714283319 1
 
0.2%
0.1218051006 1
 
0.2%
3.546556927 1
 
0.2%
3.469820596 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-2.313333333 1
0.2%
-2.148177369 1
0.2%
-2.120213244 1
0.2%
-1.92568951 1
0.2%
-1.618145472 1
0.2%
ValueCountFrequency (%)
7.562934028 1
0.2%
7.356764438 1
0.2%
7.304842508 1
0.2%
6.910304863 1
0.2%
6.894636298 1
0.2%
Distinct502
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6873559215
Minimum0.1155555556
Maximum1.571797521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:01.227439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1155555556
5-th percentile0.305341337
Q10.4899437881
median0.6243496358
Q30.9130825884
95-th percentile1.146640752
Maximum1.571797521
Range1.456241965
Interquartile range (IQR)0.4231388003

Descriptive statistics

Standard deviation0.272416454
Coefficient of variation (CV)0.3963251723
Kurtosis-0.4871961813
Mean0.6873559215
Median Absolute Deviation (MAD)0.2045392531
Skewness0.4442099537
Sum400.7285022
Variance0.07421072441
MonotonicityNot monotonic
2023-02-02T09:32:01.967323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3541666667 5
 
0.9%
0.5332359386 4
 
0.7%
0.9297520661 4
 
0.7%
0.5153061224 3
 
0.5%
0.2993197279 3
 
0.5%
0.6024691358 3
 
0.5%
0.8854685378 3
 
0.5%
0.84 3
 
0.5%
0.4930966469 3
 
0.5%
0.6464 3
 
0.5%
Other values (492) 549
94.2%
ValueCountFrequency (%)
0.1155555556 1
0.2%
0.1388888889 1
0.2%
0.16 1
0.2%
0.1649305556 1
0.2%
0.1775147929 1
0.2%
ValueCountFrequency (%)
1.571797521 1
0.2%
1.444444444 1
0.2%
1.425619835 1
0.2%
1.424067666 1
0.2%
1.404770381 1
0.2%
Distinct534
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06719174989
Minimum-0.7475
Maximum0.5044378698
Zeros0
Zeros (%)0.0%
Negative127
Negative (%)21.8%
Memory size4.7 KiB
2023-02-02T09:32:02.812201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.7475
5-th percentile-0.1812448019
Q10.01604960644
median0.07679738562
Q30.1460324075
95-th percentile0.2409210526
Maximum0.5044378698
Range1.25193787
Interquartile range (IQR)0.129982801

Descriptive statistics

Standard deviation0.1320399305
Coefficient of variation (CV)1.965121175
Kurtosis4.405492325
Mean0.06719174989
Median Absolute Deviation (MAD)0.06605975724
Skewness-1.252521082
Sum39.17279019
Variance0.01743454325
MonotonicityNot monotonic
2023-02-02T09:32:03.535087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1711956522 3
 
0.5%
0.152685449 3
 
0.5%
0.1377777778 3
 
0.5%
0.05886016817 3
 
0.5%
0.1440345369 2
 
0.3%
0.05106621773 2
 
0.3%
0.1307311672 2
 
0.3%
-0.02284205693 2
 
0.3%
0.1313623203 2
 
0.3%
0.1255165289 2
 
0.3%
Other values (524) 559
95.9%
ValueCountFrequency (%)
-0.7475 1
0.2%
-0.5836352657 1
0.2%
-0.4281992337 2
0.3%
-0.41 1
0.2%
-0.3556140649 1
0.2%
ValueCountFrequency (%)
0.5044378698 1
0.2%
0.3748148148 1
0.2%
0.3651860777 1
0.2%
0.3646052632 1
0.2%
0.3601134216 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08249425033
Minimum-0.2890959456
Maximum0.1643421053
Zeros1
Zeros (%)0.2%
Negative521
Negative (%)89.4%
Memory size4.7 KiB
2023-02-02T09:32:04.195299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2890959456
5-th percentile-0.2021686743
Q1-0.1369317387
median-0.07575796081
Q3-0.02878755668
95-th percentile0.03035127263
Maximum0.1643421053
Range0.4534380509
Interquartile range (IQR)0.1081441821

Descriptive statistics

Standard deviation0.07409002011
Coefficient of variation (CV)-0.8981234427
Kurtosis0.009579741639
Mean-0.08249425033
Median Absolute Deviation (MAD)0.05326502004
Skewness-0.09124955779
Sum-48.09414795
Variance0.00548933108
MonotonicityNot monotonic
2023-02-02T09:32:04.870483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1489695575 3
 
0.5%
-0.1903978052 3
 
0.5%
-0.1519607843 2
 
0.3%
-0.1397225847 2
 
0.3%
-0.0155258931 2
 
0.3%
-0.02095913978 2
 
0.3%
-0.0698991832 2
 
0.3%
-0.03427288405 2
 
0.3%
0.01292929293 2
 
0.3%
-0.1111111111 2
 
0.3%
Other values (537) 561
96.2%
ValueCountFrequency (%)
-0.2890959456 1
0.2%
-0.2777777778 1
0.2%
-0.2755169416 1
0.2%
-0.2743097239 1
0.2%
-0.2728738579 1
0.2%
ValueCountFrequency (%)
0.1643421053 1
0.2%
0.1447413645 1
0.2%
0.1360759494 1
0.2%
0.1318663495 1
0.2%
0.1131791964 1
0.2%
Distinct548
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04307571198
Minimum-0.4955621302
Maximum0.3329081633
Zeros0
Zeros (%)0.0%
Negative415
Negative (%)71.2%
Memory size4.7 KiB
2023-02-02T09:32:05.483902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4955621302
5-th percentile-0.1680154874
Q1-0.09821812511
median-0.03703703704
Q30.00397247473
95-th percentile0.08230614502
Maximum0.3329081633
Range0.8284702934
Interquartile range (IQR)0.1021905998

Descriptive statistics

Standard deviation0.08612764114
Coefficient of variation (CV)-1.999447883
Kurtosis2.711484815
Mean-0.04307571198
Median Absolute Deviation (MAD)0.04777707764
Skewness-0.1245038028
Sum-25.11314009
Variance0.007417970568
MonotonicityNot monotonic
2023-02-02T09:32:06.091099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.008928571429 3
 
0.5%
-0.0792866941 3
 
0.5%
0.0625 2
 
0.3%
-0.05909854628 2
 
0.3%
-0.01552319734 2
 
0.3%
0.07276898236 2
 
0.3%
0.06813827572 2
 
0.3%
0.007706142356 2
 
0.3%
-0.0217015873 2
 
0.3%
-0.1127336098 2
 
0.3%
Other values (538) 561
96.2%
ValueCountFrequency (%)
-0.4955621302 1
0.2%
-0.3653787879 1
0.2%
-0.3303571429 1
0.2%
-0.3251721014 1
0.2%
-0.2978458646 1
0.2%
ValueCountFrequency (%)
0.3329081633 1
0.2%
0.3162201861 1
0.2%
0.25 1
0.2%
0.1936245573 1
0.2%
0.1810121107 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.94797296
Minimum6.144557823
Maximum124.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:06.724292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.144557823
5-th percentile7.226222222
Q19.859489834
median12.271809
Q315.34063805
95-th percentile33.23624377
Maximum124.21
Range118.0654422
Interquartile range (IQR)5.481148221

Descriptive statistics

Standard deviation12.84684578
Coefficient of variation (CV)0.8594373177
Kurtosis34.91679046
Mean14.94797296
Median Absolute Deviation (MAD)2.666577132
Skewness5.390029125
Sum8714.668233
Variance165.0414465
MonotonicityNot monotonic
2023-02-02T09:32:07.421247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.74920779 4
 
0.7%
13.90972222 3
 
0.5%
16.01838832 3
 
0.5%
16.97506925 3
 
0.5%
16.3375 3
 
0.5%
15.7775 3
 
0.5%
16.14876033 3
 
0.5%
9.880886427 2
 
0.3%
13.52066116 2
 
0.3%
12.98765432 2
 
0.3%
Other values (518) 555
95.2%
ValueCountFrequency (%)
6.144557823 1
0.2%
6.290786137 1
0.2%
6.30859375 1
0.2%
6.509637188 2
0.3%
6.543209877 1
0.2%
ValueCountFrequency (%)
124.21 1
0.2%
123.4422477 1
0.2%
106.9919649 2
0.3%
98.46153846 1
0.2%
96.36992969 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.935378671
Minimum-3.007346189
Maximum27.00936524
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:32:08.532424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3.007346189
5-th percentile-1.476068805
Q1-0.3055469762
median1.789473684
Q33.597318922
95-th percentile7.126801367
Maximum27.00936524
Range30.01671143
Interquartile range (IQR)3.902865898

Descriptive statistics

Standard deviation3.19117676
Coefficient of variation (CV)1.648864281
Kurtosis14.82242365
Mean1.935378671
Median Absolute Deviation (MAD)2.010813523
Skewness2.675634805
Sum1128.325765
Variance10.18360911
MonotonicityNot monotonic
2023-02-02T09:32:09.198257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.02100498 4
 
0.7%
-0.7437336951 2
 
0.3%
3.553364175 2
 
0.3%
2.787833895 2
 
0.3%
7.24137931 2
 
0.3%
3.603741497 2
 
0.3%
3.644444444 2
 
0.3%
4.253720238 2
 
0.3%
3.658060942 2
 
0.3%
4.235457064 2
 
0.3%
Other values (534) 561
96.2%
ValueCountFrequency (%)
-3.007346189 1
0.2%
-2.626766091 1
0.2%
-2.492016219 1
0.2%
-2.468599034 2
0.3%
-2.3504082 1
0.2%
ValueCountFrequency (%)
27.00936524 1
0.2%
22.93235939 2
0.3%
19.88560725 1
0.2%
19.75031988 1
0.2%
13.48158213 1
0.2%
Distinct574
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.253784647
Minimum-5.666666667
Maximum98.83791961
Zeros0
Zeros (%)0.0%
Negative134
Negative (%)23.0%
Memory size4.7 KiB
2023-02-02T09:32:10.066808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-5.666666667
5-th percentile-1.371669689
Q10.1664016694
median2.274143923
Q34.407900691
95-th percentile8.464156077
Maximum98.83791961
Range104.5045863
Interquartile range (IQR)4.241499021

Descriptive statistics

Standard deviation7.830579104
Coefficient of variation (CV)2.406606446
Kurtosis87.9302642
Mean3.253784647
Median Absolute Deviation (MAD)2.124359479
Skewness8.656044001
Sum1896.956449
Variance61.31796911
MonotonicityNot monotonic
2023-02-02T09:32:10.853833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.269690041 2
 
0.3%
4.466579672 2
 
0.3%
3.067544582 2
 
0.3%
-1.380700428 2
 
0.3%
0.2957737015 2
 
0.3%
4.290909091 2
 
0.3%
1.744247838 2
 
0.3%
-1.172839506 2
 
0.3%
5.447462277 2
 
0.3%
-0.02528409091 1
 
0.2%
Other values (564) 564
96.7%
ValueCountFrequency (%)
-5.666666667 1
0.2%
-5 1
0.2%
-2.379223356 1
0.2%
-2.020565768 1
0.2%
-1.716844181 1
0.2%
ValueCountFrequency (%)
98.83791961 1
0.2%
82.18330124 1
0.2%
82.10754366 1
0.2%
70.23503349 1
0.2%
66.12947401 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.432538515
Minimum-6.136969697
Maximum13.318121
Zeros0
Zeros (%)0.0%
Negative222
Negative (%)38.1%
Memory size4.7 KiB
2023-02-02T09:32:11.556150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-6.136969697
5-th percentile-2.321709885
Q1-0.5519816722
median0.6005716086
Q33.542723577
95-th percentile6.491714493
Maximum13.318121
Range19.4550907
Interquartile range (IQR)4.094705249

Descriptive statistics

Standard deviation2.813218523
Coefficient of variation (CV)1.963799572
Kurtosis0.06962714545
Mean1.432538515
Median Absolute Deviation (MAD)1.760321068
Skewness0.5243891512
Sum835.1699545
Variance7.914198457
MonotonicityNot monotonic
2023-02-02T09:32:12.221140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2708333333 2
 
0.3%
-0.1254803932 2
 
0.3%
2.257643098 2
 
0.3%
2.543758573 2
 
0.3%
2.76649613 2
 
0.3%
1.177599862 1
 
0.2%
1.254301666 1
 
0.2%
0.2295918367 1
 
0.2%
3.239753086 1
 
0.2%
3.945747045 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-6.136969697 1
0.2%
-4.888888889 1
0.2%
-4.74556213 1
0.2%
-4.566421775 1
0.2%
-4.537792895 1
0.2%
ValueCountFrequency (%)
13.318121 1
0.2%
9.874234595 1
0.2%
9.517878239 1
0.2%
8.993215461 1
0.2%
8.327842282 1
0.2%
Distinct531
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.1860214
Minimum29.48934352
Maximum726.9986493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:12.857598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum29.48934352
5-th percentile34.43024973
Q147.55081842
median57.50956627
Q371.03114773
95-th percentile169.384869
Maximum726.9986493
Range697.5093058
Interquartile range (IQR)23.48032931

Descriptive statistics

Standard deviation71.79011302
Coefficient of variation (CV)0.9809265711
Kurtosis36.78618998
Mean73.1860214
Median Absolute Deviation (MAD)11.27286693
Skewness5.579949829
Sum42667.45047
Variance5153.820328
MonotonicityNot monotonic
2023-02-02T09:32:13.555123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.64446157 4
 
0.7%
73.63444148 3
 
0.5%
77.92329476 3
 
0.5%
74.96461918 3
 
0.5%
574.8924554 2
 
0.3%
60.52402853 2
 
0.3%
60.96196681 2
 
0.3%
65.85807476 2
 
0.3%
40.42049056 2
 
0.3%
57.01851491 2
 
0.3%
Other values (521) 558
95.7%
ValueCountFrequency (%)
29.48934352 1
0.2%
30.22483791 1
0.2%
30.32406461 1
0.2%
31.10975019 2
0.3%
31.25769052 1
0.2%
ValueCountFrequency (%)
726.9986493 1
0.2%
663.9037308 1
0.2%
574.8924554 2
0.3%
574.7122127 1
0.2%
515.3600044 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.581206298
Minimum-13.98666756
Maximum134.4817591
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:32:14.295211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-13.98666756
5-th percentile-7.28265353
Q1-0.8254196674
median7.569185835
Q315.18517304
95-th percentile31.68899282
Maximum134.4817591
Range148.4684267
Interquartile range (IQR)16.01059271

Descriptive statistics

Standard deviation15.0213647
Coefficient of variation (CV)1.750495697
Kurtosis19.75574037
Mean8.581206298
Median Absolute Deviation (MAD)8.210152425
Skewness3.220674686
Sum5002.843272
Variance225.6413974
MonotonicityNot monotonic
2023-02-02T09:32:14.938325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.98806411 4
 
0.7%
17.37479127 3
 
0.5%
114.2426659 2
 
0.3%
17.49248533 2
 
0.3%
35.70905106 2
 
0.3%
15.11151891 2
 
0.3%
13.22875388 2
 
0.3%
15.23011129 2
 
0.3%
20.35459954 2
 
0.3%
15.38377744 2
 
0.3%
Other values (532) 560
96.1%
ValueCountFrequency (%)
-13.98666756 1
0.2%
-13.07970011 1
0.2%
-12.64509316 2
0.3%
-12.46433275 1
0.2%
-12.00014094 1
0.2%
ValueCountFrequency (%)
134.4817591 1
0.2%
114.2426659 2
0.3%
99.08926807 1
0.2%
98.02872942 1
0.2%
61.81664083 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.29772612
Minimum-24.08099363
Maximum537.0280379
Zeros0
Zeros (%)0.0%
Negative130
Negative (%)22.3%
Memory size4.7 KiB
2023-02-02T09:32:15.785655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-24.08099363
5-th percentile-6.562632075
Q10.7556273918
median11.54139925
Q321.88009829
95-th percentile39.58970811
Maximum537.0280379
Range561.1090316
Interquartile range (IQR)21.1244709

Descriptive statistics

Standard deviation41.90666058
Coefficient of variation (CV)2.571319476
Kurtosis95.07088414
Mean16.29772612
Median Absolute Deviation (MAD)10.5699314
Skewness9.154841477
Sum9501.574327
Variance1756.168201
MonotonicityNot monotonic
2023-02-02T09:32:16.427098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.534254256 2
 
0.3%
1.841673257 2
 
0.3%
0.3846902193 2
 
0.3%
9.375356517 2
 
0.3%
14.59976867 2
 
0.3%
21.40841565 2
 
0.3%
22.84049716 2
 
0.3%
22.52249262 2
 
0.3%
20.95929118 2
 
0.3%
12.07589528 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-24.08099363 1
0.2%
-17.43250314 1
0.2%
-9.748586953 1
0.2%
-8.347852158 1
0.2%
-7.923146876 1
0.2%
ValueCountFrequency (%)
537.0280379 1
0.2%
446.6678301 1
0.2%
446.3350727 1
0.2%
381.8293585 1
0.2%
361.8026603 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.028457684
Minimum-28.37030463
Maximum73.67296647
Zeros0
Zeros (%)0.0%
Negative221
Negative (%)37.9%
Memory size4.7 KiB
2023-02-02T09:32:17.327737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-28.37030463
5-th percentile-10.9444854
Q1-2.6210712
median2.947882098
Q317.32600996
95-th percentile31.14293745
Maximum73.67296647
Range102.0432711
Interquartile range (IQR)19.94708116

Descriptive statistics

Standard deviation13.66987574
Coefficient of variation (CV)1.944932495
Kurtosis0.6184984217
Mean7.028457684
Median Absolute Deviation (MAD)8.444407479
Skewness0.6387314488
Sum4097.59083
Variance186.8655028
MonotonicityNot monotonic
2023-02-02T09:32:18.671803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.676715791 2
 
0.3%
-0.5497176465 2
 
0.3%
10.71672147 2
 
0.3%
12.07429406 2
 
0.3%
13.10746177 2
 
0.3%
4.958652487 1
 
0.2%
5.331639799 1
 
0.2%
0.4458257486 1
 
0.2%
14.72760373 1
 
0.2%
18.15969709 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-28.37030463 1
0.2%
-23.50719187 1
0.2%
-23.12795485 1
0.2%
-22.01629965 1
0.2%
-21.74975556 1
0.2%
ValueCountFrequency (%)
73.67296647 1
0.2%
54.36979959 1
0.2%
52.55791007 1
0.2%
44.4469634 1
0.2%
42.33637829 1
0.2%
Distinct533
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.73131836
Minimum27.97237744
Maximum74.200699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:19.740942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum27.97237744
5-th percentile37.77542834
Q143.05770454
median46.7348901
Q350.36249346
95-th percentile54.93143718
Maximum74.200699
Range46.22832157
Interquartile range (IQR)7.304788922

Descriptive statistics

Standard deviation5.620134874
Coefficient of variation (CV)0.1202648475
Kurtosis2.891248797
Mean46.73131836
Median Absolute Deviation (MAD)3.628739227
Skewness0.5248186332
Sum27244.3586
Variance31.585916
MonotonicityNot monotonic
2023-02-02T09:32:21.158801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.50971375 4
 
0.7%
43.96884601 3
 
0.5%
42.54063102 3
 
0.5%
42.97543194 3
 
0.5%
50.36362933 2
 
0.3%
40.73987569 2
 
0.3%
49.30275688 2
 
0.3%
46.44392784 2
 
0.3%
52.87078371 2
 
0.3%
41.19366411 2
 
0.3%
Other values (523) 558
95.7%
ValueCountFrequency (%)
27.97237744 1
0.2%
29.55984773 1
0.2%
30.68343373 1
0.2%
31.4228073 1
0.2%
32.25377217 1
0.2%
ValueCountFrequency (%)
74.200699 1
0.2%
71.5403992 1
0.2%
70.86564229 2
0.3%
68.32087369 1
0.2%
66.94175433 1
0.2%
Distinct548
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.505645875
Minimum-17.17124101
Maximum5.523244365
Zeros0
Zeros (%)0.0%
Negative563
Negative (%)96.6%
Memory size4.7 KiB
2023-02-02T09:32:22.635072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-17.17124101
5-th percentile-11.03860196
Q1-7.450333958
median-5.243229949
Q3-3.475068797
95-th percentile-0.4775346101
Maximum5.523244365
Range22.69448538
Interquartile range (IQR)3.97526516

Descriptive statistics

Standard deviation3.233825097
Coefficient of variation (CV)-0.5873652557
Kurtosis0.4439364828
Mean-5.505645875
Median Absolute Deviation (MAD)1.943217054
Skewness-0.2714623022
Sum-3209.791545
Variance10.45762476
MonotonicityNot monotonic
2023-02-02T09:32:24.293199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.471951241 4
 
0.7%
-5.78807727 3
 
0.5%
-1.987867063 2
 
0.3%
-4.385923972 2
 
0.3%
-4.29718665 2
 
0.3%
-8.087781684 2
 
0.3%
-4.326813927 2
 
0.3%
-10.36610818 2
 
0.3%
-2.645506386 2
 
0.3%
-1.221205755 2
 
0.3%
Other values (538) 560
96.1%
ValueCountFrequency (%)
-17.17124101 1
0.2%
-15.68122274 1
0.2%
-14.41654787 1
0.2%
-14.13800759 1
0.2%
-13.87959949 1
0.2%
ValueCountFrequency (%)
5.523244365 1
0.2%
3.005691868 1
0.2%
2.996614479 1
0.2%
2.544875186 1
0.2%
2.154060316 1
0.2%
Distinct575
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7162371976
Minimum-13.58951364
Maximum25.89222831
Zeros0
Zeros (%)0.0%
Negative256
Negative (%)43.9%
Memory size4.7 KiB
2023-02-02T09:32:25.384299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-13.58951364
5-th percentile-8.647966099
Q1-4.094950075
median0.8813767148
Q34.66615294
95-th percentile11.35608944
Maximum25.89222831
Range39.48174195
Interquartile range (IQR)8.761103015

Descriptive statistics

Standard deviation6.188736241
Coefficient of variation (CV)8.64062389
Kurtosis0.1160629297
Mean0.7162371976
Median Absolute Deviation (MAD)4.254111749
Skewness0.3457694668
Sum417.5662862
Variance38.30045626
MonotonicityNot monotonic
2023-02-02T09:32:26.553604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7.564717388 2
 
0.3%
-7.953467188 2
 
0.3%
1.999131522 2
 
0.3%
0.7810256262 2
 
0.3%
2.101933193 2
 
0.3%
-1.138709237 2
 
0.3%
-2.744623629 2
 
0.3%
6.70400175 2
 
0.3%
5.964667299 1
 
0.2%
5.776944274 1
 
0.2%
Other values (565) 565
96.9%
ValueCountFrequency (%)
-13.58951364 1
0.2%
-12.92852835 1
0.2%
-12.33940836 1
0.2%
-12.1288431 1
0.2%
-12.01239408 1
0.2%
ValueCountFrequency (%)
25.89222831 1
0.2%
18.29862698 1
0.2%
18.26519853 1
0.2%
17.14288803 1
0.2%
17.13283369 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.720040679
Minimum-55.4741326
Maximum10.7553527
Zeros0
Zeros (%)0.0%
Negative461
Negative (%)79.1%
Memory size4.7 KiB
2023-02-02T09:32:27.883769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-55.4741326
5-th percentile-22.18159757
Q1-10.08641009
median-4.001878883
Q3-0.1100707672
95-th percentile4.813742669
Maximum10.7553527
Range66.2294853
Interquartile range (IQR)9.976339322

Descriptive statistics

Standard deviation8.19956981
Coefficient of variation (CV)-1.433481031
Kurtosis3.554612336
Mean-5.720040679
Median Absolute Deviation (MAD)4.515711274
Skewness-1.332425369
Sum-3334.783716
Variance67.23294506
MonotonicityNot monotonic
2023-02-02T09:32:29.298380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.74474409 2
 
0.3%
-2.706423578 2
 
0.3%
-4.083238409 2
 
0.3%
-10.07174127 2
 
0.3%
-7.377679468 2
 
0.3%
-1.223005746 1
 
0.2%
-0.9419847398 1
 
0.2%
-4.948663618 1
 
0.2%
-8.817559713 1
 
0.2%
-3.955853381 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-55.4741326 1
0.2%
-44.90976821 1
0.2%
-37.92919076 1
0.2%
-34.9786933 1
0.2%
-33.12684724 1
0.2%
ValueCountFrequency (%)
10.7553527 1
0.2%
9.704796802 1
0.2%
9.513963823 1
0.2%
8.591292229 1
0.2%
8.586568036 1
0.2%
Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1850529013
Minimum0.008578311111
Maximum0.4198451462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:30.541526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.008578311111
5-th percentile0.0187295674
Q10.08446438865
median0.1860088422
Q30.2814092344
95-th percentile0.3499185316
Maximum0.4198451462
Range0.4112668351
Interquartile range (IQR)0.1969448457

Descriptive statistics

Standard deviation0.11063167
Coefficient of variation (CV)0.5978380731
Kurtosis-1.208553881
Mean0.1850529013
Median Absolute Deviation (MAD)0.09803273408
Skewness-0.0003404859833
Sum107.8858415
Variance0.0122393664
MonotonicityNot monotonic
2023-02-02T09:32:31.288415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2550777918 4
 
0.7%
0.2657296136 3
 
0.5%
0.27411206 3
 
0.5%
0.2861813475 3
 
0.5%
0.2757394927 3
 
0.5%
0.2885792964 3
 
0.5%
0.1410580532 2
 
0.3%
0.2165711736 2
 
0.3%
0.0938326196 2
 
0.3%
0.1635549705 2
 
0.3%
Other values (518) 556
95.4%
ValueCountFrequency (%)
0.008578311111 1
0.2%
0.008812426304 1
0.2%
0.008942364883 1
0.2%
0.009450092045 1
0.2%
0.01045223143 1
0.2%
ValueCountFrequency (%)
0.4198451462 1
0.2%
0.4149528338 1
0.2%
0.4065901531 1
0.2%
0.4030914989 1
0.2%
0.4022334653 1
0.2%
Distinct552
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0128419038
Minimum-0.1853435318
Maximum0.09417902778
Zeros0
Zeros (%)0.0%
Negative311
Negative (%)53.3%
Memory size4.7 KiB
2023-02-02T09:32:32.140099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1853435318
5-th percentile-0.07336026213
Q1-0.02936960551
median-0.00152292
Q30.005804372425
95-th percentile0.0222163671
Maximum0.09417902778
Range0.2795225596
Interquartile range (IQR)0.03517397794

Descriptive statistics

Standard deviation0.03287965326
Coefficient of variation (CV)-2.560341034
Kurtosis3.053551428
Mean-0.0128419038
Median Absolute Deviation (MAD)0.01140009103
Skewness-1.267393539
Sum-7.486829915
Variance0.001081071599
MonotonicityNot monotonic
2023-02-02T09:32:33.222613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006433187908 3
 
0.5%
-0.000107221167 2
 
0.3%
0.001277669818 2
 
0.3%
0.005028576446 2
 
0.3%
-0.00399866752 2
 
0.3%
0.01036423587 2
 
0.3%
0.004648557823 2
 
0.3%
-0.05878158105 2
 
0.3%
-0.03629792022 2
 
0.3%
-0.06666926862 2
 
0.3%
Other values (542) 562
96.4%
ValueCountFrequency (%)
-0.1853435318 1
0.2%
-0.1518909272 1
0.2%
-0.14425865 1
0.2%
-0.1404439437 1
0.2%
-0.132548167 1
0.2%
ValueCountFrequency (%)
0.09417902778 1
0.2%
0.09056474444 1
0.2%
0.07011302089 1
0.2%
0.06380092184 1
0.2%
0.04717493136 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08424577293
Minimum-0.03508257678
Maximum0.3759912403
Zeros0
Zeros (%)0.0%
Negative87
Negative (%)14.9%
Memory size4.7 KiB
2023-02-02T09:32:34.662656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.03508257678
5-th percentile-0.004166274343
Q10.02339671836
median0.07930691268
Q30.1223704433
95-th percentile0.2247468468
Maximum0.3759912403
Range0.4110738171
Interquartile range (IQR)0.09897372497

Descriptive statistics

Standard deviation0.07260272638
Coefficient of variation (CV)0.8617966676
Kurtosis1.484384301
Mean0.08424577293
Median Absolute Deviation (MAD)0.04823507152
Skewness1.013593036
Sum49.11528562
Variance0.005271155877
MonotonicityNot monotonic
2023-02-02T09:32:36.099509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0319390212 2
 
0.3%
-0.001012296485 2
 
0.3%
0.03480159645 2
 
0.3%
0.03287032359 2
 
0.3%
0.08729580324 2
 
0.3%
0.1606376625 2
 
0.3%
0.1062068775 2
 
0.3%
0.3134976282 2
 
0.3%
0.09574787497 2
 
0.3%
0.1132537228 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
-0.03508257678 1
0.2%
-0.02613444988 1
0.2%
-0.0258693103 1
0.2%
-0.01729335537 1
0.2%
-0.01350869385 1
0.2%
ValueCountFrequency (%)
0.3759912403 1
0.2%
0.3441347229 1
0.2%
0.3412320589 1
0.2%
0.3332327979 1
0.2%
0.3265511368 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07361174021
Minimum-0.03236788889
Maximum0.3077388814
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)20.1%
Memory size4.7 KiB
2023-02-02T09:32:36.790660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.03236788889
5-th percentile-0.006572996567
Q10.000741812284
median0.02914276
Q30.1565440746
95-th percentile0.2112423371
Maximum0.3077388814
Range0.3401067703
Interquartile range (IQR)0.1558022623

Descriptive statistics

Standard deviation0.08241043811
Coefficient of variation (CV)1.119528459
Kurtosis-1.271823304
Mean0.07361174021
Median Absolute Deviation (MAD)0.03302542667
Skewness0.562265237
Sum42.91564454
Variance0.00679148031
MonotonicityNot monotonic
2023-02-02T09:32:37.502693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06076330667 2
 
0.3%
0.006090121799 2
 
0.3%
0.1109733635 2
 
0.3%
0.1894514219 2
 
0.3%
0.1560141785 2
 
0.3%
0.03914334224 1
 
0.2%
0.03546824396 1
 
0.2%
0.03811589116 1
 
0.2%
0.1436860217 1
 
0.2%
0.1325200993 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.03236788889 1
0.2%
-0.03060292 1
0.2%
-0.01801065681 1
0.2%
-0.01733437697 1
0.2%
-0.0166999431 1
0.2%
ValueCountFrequency (%)
0.3077388814 1
0.2%
0.2611815778 1
0.2%
0.2455869225 1
0.2%
0.245510091 1
0.2%
0.2381717314 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2797114786
Minimum0.03133762327
Maximum0.6193088326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:38.299412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.03133762327
5-th percentile0.04412482639
Q10.1254038549
median0.2773906977
Q30.4184028932
95-th percentile0.5254662681
Maximum0.6193088326
Range0.5879712094
Interquartile range (IQR)0.2929990384

Descriptive statistics

Standard deviation0.1609044253
Coefficient of variation (CV)0.57525142
Kurtosis-1.248539139
Mean0.2797114786
Median Absolute Deviation (MAD)0.1445687398
Skewness0.04922030625
Sum163.071792
Variance0.02589023407
MonotonicityNot monotonic
2023-02-02T09:32:39.439061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3824650068 4
 
0.7%
0.4072762574 3
 
0.5%
0.4219594375 3
 
0.5%
0.3977679752 3
 
0.5%
0.40562475 3
 
0.5%
0.4307313019 3
 
0.5%
0.323709 2
 
0.3%
0.3045051863 2
 
0.3%
0.1947605142 2
 
0.3%
0.4208274691 2
 
0.3%
Other values (517) 556
95.4%
ValueCountFrequency (%)
0.03133762327 1
0.2%
0.03264168206 1
0.2%
0.03309111111 1
0.2%
0.0335069161 1
0.2%
0.03373772291 1
0.2%
ValueCountFrequency (%)
0.6193088326 1
0.2%
0.6089937344 1
0.2%
0.6069076217 1
0.2%
0.6027959008 1
0.2%
0.5931089506 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02117178161
Minimum-0.2367877232
Maximum0.08288823529
Zeros0
Zeros (%)0.0%
Negative369
Negative (%)63.3%
Memory size4.7 KiB
2023-02-02T09:32:41.081683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2367877232
5-th percentile-0.09705092681
Q1-0.04377339816
median-0.006410006301
Q30.003210886358
95-th percentile0.0141887051
Maximum0.08288823529
Range0.3196759585
Interquartile range (IQR)0.04698428452

Descriptive statistics

Standard deviation0.03931425745
Coefficient of variation (CV)-1.856917768
Kurtosis3.395061442
Mean-0.02117178161
Median Absolute Deviation (MAD)0.01256048816
Skewness-1.432982158
Sum-12.34314868
Variance0.001545610839
MonotonicityNot monotonic
2023-02-02T09:32:41.974252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.003122311755 3
 
0.5%
-0.01183910897 3
 
0.5%
-0.05389894388 2
 
0.3%
-0.004576084618 2
 
0.3%
-0.02396753061 2
 
0.3%
-0.06302091837 2
 
0.3%
0.0205752755 2
 
0.3%
-0.005744689655 2
 
0.3%
-0.004853040142 2
 
0.3%
-0.01028481071 2
 
0.3%
Other values (535) 561
96.2%
ValueCountFrequency (%)
-0.2367877232 1
0.2%
-0.189483297 1
0.2%
-0.1823655372 1
0.2%
-0.1804319079 1
0.2%
-0.1733425154 1
0.2%
ValueCountFrequency (%)
0.08288823529 1
0.2%
0.08150386621 1
0.2%
0.07082221074 1
0.2%
0.06715333949 1
0.2%
0.06515496307 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1186664082
Minimum-0.04987237309
Maximum0.5438785473
Zeros0
Zeros (%)0.0%
Negative98
Negative (%)16.8%
Memory size4.7 KiB
2023-02-02T09:32:42.920423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.04987237309
5-th percentile-0.009424697391
Q10.02681489059
median0.1210049656
Q30.1682038774
95-th percentile0.3278817708
Maximum0.5438785473
Range0.5937509204
Interquartile range (IQR)0.1413889869

Descriptive statistics

Standard deviation0.1068027425
Coefficient of variation (CV)0.9000250711
Kurtosis1.638617804
Mean0.1186664082
Median Absolute Deviation (MAD)0.06694553949
Skewness1.065069669
Sum69.18251596
Variance0.0114068258
MonotonicityNot monotonic
2023-02-02T09:32:43.634645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03854220513 2
 
0.3%
0.1082520997 2
 
0.3%
0.04317495591 2
 
0.3%
0.2318280898 2
 
0.3%
0.1103390727 2
 
0.3%
0.135856382 2
 
0.3%
0.452089 2
 
0.3%
0.1275174822 2
 
0.3%
0.1457647483 2
 
0.3%
0.2713249117 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-0.04987237309 1
0.2%
-0.0392841262 1
0.2%
-0.03543171571 1
0.2%
-0.0257174397 1
0.2%
-0.02491949469 1
0.2%
ValueCountFrequency (%)
0.5438785473 1
0.2%
0.5037805597 1
0.2%
0.4904220728 1
0.2%
0.4841667196 1
0.2%
0.4774083565 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09994066693
Minimum-0.05925433333
Maximum0.4337400463
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)26.1%
Memory size4.7 KiB
2023-02-02T09:32:44.492851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.05925433333
5-th percentile-0.01520770097
Q1-0.0003272085759
median0.03620731293
Q30.2127152562
95-th percentile0.3110879386
Maximum0.4337400463
Range0.4929943796
Interquartile range (IQR)0.2130424648

Descriptive statistics

Standard deviation0.1184340108
Coefficient of variation (CV)1.18504323
Kurtosis-1.096172776
Mean0.09994066693
Median Absolute Deviation (MAD)0.04776230698
Skewness0.6327728687
Sum58.26540882
Variance0.01402661491
MonotonicityNot monotonic
2023-02-02T09:32:45.313090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2393033471 2
 
0.3%
0.0085120821 2
 
0.3%
0.080389 2
 
0.3%
0.2030131882 2
 
0.3%
0.1468839237 2
 
0.3%
-0.01056346702 2
 
0.3%
0.2285714938 1
 
0.2%
0.04387982094 1
 
0.2%
0.2376914703 1
 
0.2%
0.01945 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.05925433333 1
0.2%
-0.05153395062 1
0.2%
-0.05102140921 1
0.2%
-0.04420947877 1
0.2%
-0.03947645455 1
0.2%
ValueCountFrequency (%)
0.4337400463 1
0.2%
0.3797296053 1
0.2%
0.3766529767 1
0.2%
0.3619547475 1
0.2%
0.3511957531 1
0.2%
Distinct533
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3164435355
Minimum0.02218829717
Maximum0.7343747934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:46.094805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.02218829717
5-th percentile0.03314789844
Q10.1305204036
median0.3121412071
Q30.4859738267
95-th percentile0.6103647599
Maximum0.7343747934
Range0.7121864962
Interquartile range (IQR)0.3554534231

Descriptive statistics

Standard deviation0.1942374224
Coefficient of variation (CV)0.6138138424
Kurtosis-1.252685874
Mean0.3164435355
Median Absolute Deviation (MAD)0.1761540449
Skewness0.05299731223
Sum184.4865812
Variance0.03772817627
MonotonicityNot monotonic
2023-02-02T09:32:46.770797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4574605372 3
 
0.5%
0.4389038479 3
 
0.5%
0.48825475 3
 
0.5%
0.4699527312 3
 
0.5%
0.4708749375 3
 
0.5%
0.370732 2
 
0.3%
0.3455300219 2
 
0.3%
0.2168528237 2
 
0.3%
0.4923237654 2
 
0.3%
0.07001417093 2
 
0.3%
Other values (523) 558
95.7%
ValueCountFrequency (%)
0.02218829717 1
0.2%
0.0222666128 1
0.2%
0.02296966574 1
0.2%
0.0230756661 2
0.3%
0.02318951379 1
0.2%
ValueCountFrequency (%)
0.7343747934 1
0.2%
0.7144391598 1
0.2%
0.7123362718 1
0.2%
0.7061595372 1
0.2%
0.6942082562 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02979782668
Minimum-0.2620892857
Maximum0.07817354571
Zeros0
Zeros (%)0.0%
Negative460
Negative (%)78.9%
Memory size4.7 KiB
2023-02-02T09:32:47.512263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2620892857
5-th percentile-0.118806316
Q1-0.04968813992
median-0.01684050617
Q3-0.001872493962
95-th percentile0.01356670043
Maximum0.07817354571
Range0.3402628314
Interquartile range (IQR)0.04781564596

Descriptive statistics

Standard deviation0.04438785738
Coefficient of variation (CV)-1.489634055
Kurtosis3.438017078
Mean-0.02979782668
Median Absolute Deviation (MAD)0.01918455154
Skewness-1.487486192
Sum-17.37213295
Variance0.001970281883
MonotonicityNot monotonic
2023-02-02T09:32:48.229371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.01542800865 4
 
0.7%
-0.01812633806 3
 
0.5%
-0.04744454863 2
 
0.3%
-0.03225816492 2
 
0.3%
-0.008421515006 2
 
0.3%
-0.01652236395 2
 
0.3%
-0.1483486935 2
 
0.3%
-0.01921465133 2
 
0.3%
-0.02605920283 2
 
0.3%
0.008546751479 2
 
0.3%
Other values (534) 560
96.1%
ValueCountFrequency (%)
-0.2620892857 1
0.2%
-0.2418894737 1
0.2%
-0.2120808824 1
0.2%
-0.2040982645 1
0.2%
-0.1902949351 1
0.2%
ValueCountFrequency (%)
0.07817354571 1
0.2%
0.06802640488 1
0.2%
0.064576 1
0.2%
0.06302986111 1
0.2%
0.05616823337 1
0.2%
Distinct575
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1361898341
Minimum-0.05373357462
Maximum0.6481324324
Zeros0
Zeros (%)0.0%
Negative92
Negative (%)15.8%
Memory size4.7 KiB
2023-02-02T09:32:49.020739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.05373357462
5-th percentile-0.009110304033
Q10.02445283362
median0.13738125
Q30.1888090867
95-th percentile0.39002225
Maximum0.6481324324
Range0.7018660071
Interquartile range (IQR)0.1643562531

Descriptive statistics

Standard deviation0.1251067953
Coefficient of variation (CV)0.9186206597
Kurtosis2.050535664
Mean0.1361898341
Median Absolute Deviation (MAD)0.07113942909
Skewness1.212205439
Sum79.39867329
Variance0.01565171022
MonotonicityNot monotonic
2023-02-02T09:32:49.705561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1587088889 2
 
0.3%
-0.004369117647 2
 
0.3%
0.1417095801 2
 
0.3%
0.5391081717 2
 
0.3%
0.1495318399 2
 
0.3%
0.1313159494 2
 
0.3%
0.1234952593 2
 
0.3%
0.04687381014 2
 
0.3%
0.07913912254 1
 
0.2%
0.08104623589 1
 
0.2%
Other values (565) 565
96.9%
ValueCountFrequency (%)
-0.05373357462 1
0.2%
-0.04214065295 1
0.2%
-0.03960561521 1
0.2%
-0.02697365079 1
0.2%
-0.02369574931 1
0.2%
ValueCountFrequency (%)
0.6481324324 1
0.2%
0.5968068417 1
0.2%
0.5852905806 1
0.2%
0.5761073553 1
0.2%
0.5670694444 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1173715473
Minimum-0.058603
Maximum0.5232890625
Zeros0
Zeros (%)0.0%
Negative150
Negative (%)25.7%
Memory size4.7 KiB
2023-02-02T09:32:50.390633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.058603
5-th percentile-0.01388190084
Q1-1.08788078 × 10-5
median0.04214833307
Q30.2461467376
95-th percentile0.3607175738
Maximum0.5232890625
Range0.5818920625
Interquartile range (IQR)0.2461576164

Descriptive statistics

Standard deviation0.1371235227
Coefficient of variation (CV)1.168285891
Kurtosis-1.081965266
Mean0.1173715473
Median Absolute Deviation (MAD)0.05240425144
Skewness0.6430899381
Sum68.4276121
Variance0.01880286049
MonotonicityNot monotonic
2023-02-02T09:32:51.010046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2828977778 2
 
0.3%
0.01073025712 2
 
0.3%
0.09814836111 2
 
0.3%
0.2376087367 2
 
0.3%
0.1710232727 2
 
0.3%
-0.01054621959 2
 
0.3%
0.2599888086 1
 
0.2%
0.04069806302 1
 
0.2%
0.2828403409 1
 
0.2%
0.01443622222 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.058603 1
0.2%
-0.05505258205 1
0.2%
-0.05495177469 1
0.2%
-0.04056357038 1
0.2%
-0.03708230366 1
0.2%
ValueCountFrequency (%)
0.5232890625 1
0.2%
0.449188203 1
0.2%
0.4280381322 1
0.2%
0.4173981481 1
0.2%
0.4090368544 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3279477277
Minimum0.1128562715
Maximum1.623290363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:51.661356image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1128562715
5-th percentile0.1912896331
Q10.2725109646
median0.3082370614
Q30.3520994804
95-th percentile0.4727652762
Maximum1.623290363
Range1.510434091
Interquartile range (IQR)0.07958851583

Descriptive statistics

Standard deviation0.1504815873
Coefficient of variation (CV)0.458858454
Kurtosis36.90783702
Mean0.3279477277
Median Absolute Deviation (MAD)0.04031653423
Skewness5.300180595
Sum191.1935252
Variance0.02264470812
MonotonicityNot monotonic
2023-02-02T09:32:52.365693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3393065835 3
 
0.5%
0.3505848744 3
 
0.5%
0.3600611461 3
 
0.5%
0.365010708 3
 
0.5%
0.3471828948 3
 
0.5%
0.2847723144 2
 
0.3%
0.2820539199 2
 
0.3%
1.419323435 2
 
0.3%
0.3666612592 2
 
0.3%
0.168882067 2
 
0.3%
Other values (519) 558
95.7%
ValueCountFrequency (%)
0.1128562715 1
0.2%
0.1150986303 1
0.2%
0.1350542056 1
0.2%
0.1381285485 1
0.2%
0.1413684765 1
0.2%
ValueCountFrequency (%)
1.623290363 1
0.2%
1.584745857 1
0.2%
1.419323435 2
0.3%
1.388871081 1
0.2%
1.346419678 1
0.2%
Distinct541
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06976994805
Minimum-0.425724637
Maximum1.093297909
Zeros0
Zeros (%)0.0%
Negative537
Negative (%)92.1%
Memory size4.7 KiB
2023-02-02T09:32:53.471800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.425724637
5-th percentile-0.2070551198
Q1-0.1029696457
median-0.07076055049
Q3-0.04142265448
95-th percentile0.02350244817
Maximum1.093297909
Range1.519022546
Interquartile range (IQR)0.06154699127

Descriptive statistics

Standard deviation0.1188675287
Coefficient of variation (CV)-1.70370671
Kurtosis44.6592817
Mean-0.06976994805
Median Absolute Deviation (MAD)0.03009561149
Skewness5.300013818
Sum-40.67587971
Variance0.01412948937
MonotonicityNot monotonic
2023-02-02T09:32:54.142238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.08404053225 3
 
0.5%
-0.07076055049 3
 
0.5%
-0.07586040187 3
 
0.5%
-0.1535375705 2
 
0.3%
-0.0815970044 2
 
0.3%
-0.05921294077 2
 
0.3%
-0.01575544876 2
 
0.3%
-0.1748602488 2
 
0.3%
-0.06755621772 2
 
0.3%
-0.304787902 2
 
0.3%
Other values (531) 560
96.1%
ValueCountFrequency (%)
-0.425724637 1
0.2%
-0.387945895 1
0.2%
-0.3449995366 1
0.2%
-0.3151690878 1
0.2%
-0.307597324 1
0.2%
ValueCountFrequency (%)
1.093297909 1
0.2%
0.9297377949 2
0.3%
0.8484357829 1
0.2%
0.808094756 1
0.2%
0.5719929618 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002469469501
Minimum-0.1387200945
Maximum0.4514343087
Zeros0
Zeros (%)0.0%
Negative325
Negative (%)55.7%
Memory size4.7 KiB
2023-02-02T09:32:54.841336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1387200945
5-th percentile-0.05267969502
Q1-0.02599719836
median-0.005286376625
Q30.02216938081
95-th percentile0.07724799111
Maximum0.4514343087
Range0.5901544032
Interquartile range (IQR)0.04816657917

Descriptive statistics

Standard deviation0.05069235651
Coefficient of variation (CV)20.52763012
Kurtosis18.27902214
Mean0.002469469501
Median Absolute Deviation (MAD)0.02392533938
Skewness2.768910939
Sum1.439700719
Variance0.002569715009
MonotonicityNot monotonic
2023-02-02T09:32:55.473044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.00170793947 2
 
0.3%
-0.01647301875 2
 
0.3%
-0.01010752524 2
 
0.3%
0.08611953449 2
 
0.3%
-0.0408152232 2
 
0.3%
-0.0494199324 2
 
0.3%
-0.02511626751 2
 
0.3%
-0.01108844752 2
 
0.3%
-0.02921171601 2
 
0.3%
-0.01485456431 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-0.1387200945 1
0.2%
-0.1346037636 1
0.2%
-0.1231966145 1
0.2%
-0.115683271 1
0.2%
-0.1130156193 1
0.2%
ValueCountFrequency (%)
0.4514343087 1
0.2%
0.3466373222 1
0.2%
0.3379732617 1
0.2%
0.2618208084 1
0.2%
0.2335547428 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02473308728
Minimum-0.265507481
Maximum0.08974307255
Zeros0
Zeros (%)0.0%
Negative447
Negative (%)76.7%
Memory size4.7 KiB
2023-02-02T09:32:56.277743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.265507481
5-th percentile-0.09461288375
Q1-0.04407144743
median-0.01941443978
Q3-0.00108300821
95-th percentile0.03037771307
Maximum0.08974307255
Range0.3552505536
Interquartile range (IQR)0.04298843922

Descriptive statistics

Standard deviation0.04043031252
Coefficient of variation (CV)-1.634665016
Kurtosis5.884045726
Mean-0.02473308728
Median Absolute Deviation (MAD)0.02080433944
Skewness-1.530014294
Sum-14.41938988
Variance0.00163461017
MonotonicityNot monotonic
2023-02-02T09:32:57.062229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.01467459291 2
 
0.3%
-0.01308286671 2
 
0.3%
-0.0515358349 2
 
0.3%
-0.01948580589 2
 
0.3%
-0.01240409265 2
 
0.3%
-0.02675268205 2
 
0.3%
0.01834238181 1
 
0.2%
-0.1259750879 1
 
0.2%
-0.09776947827 1
 
0.2%
-0.265507481 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.265507481 1
0.2%
-0.2409053181 1
0.2%
-0.2275942806 1
0.2%
-0.1951632218 1
0.2%
-0.1923882991 1
0.2%
ValueCountFrequency (%)
0.08974307255 1
0.2%
0.0804601968 1
0.2%
0.07870941136 1
0.2%
0.05952240185 1
0.2%
0.05818682033 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.013989446
Minimum0.8122086913
Maximum7.292506118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:32:57.795208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.8122086913
5-th percentile1.146935575
Q11.348628663
median2.942598141
Q34.244420184
95-th percentile5.748406761
Maximum7.292506118
Range6.480297427
Interquartile range (IQR)2.895791521

Descriptive statistics

Standard deviation1.608458015
Coefficient of variation (CV)0.5336641165
Kurtosis-0.9930150653
Mean3.013989446
Median Absolute Deviation (MAD)1.537030432
Skewness0.3848651161
Sum1757.155847
Variance2.587137185
MonotonicityNot monotonic
2023-02-02T09:32:58.581188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.606034437 4
 
0.7%
3.740705383 3
 
0.5%
3.987864329 3
 
0.5%
3.827509819 3
 
0.5%
4.058282322 3
 
0.5%
4.140519829 3
 
0.5%
1.313570628 2
 
0.3%
3.082809697 2
 
0.3%
1.22174811 2
 
0.3%
1.375503359 2
 
0.3%
Other values (519) 556
95.4%
ValueCountFrequency (%)
0.8122086913 1
0.2%
0.8688044407 1
0.2%
0.9287047652 1
0.2%
0.954706669 1
0.2%
0.9616450378 1
0.2%
ValueCountFrequency (%)
7.292506118 1
0.2%
7.039580723 1
0.2%
6.94190963 1
0.2%
6.926523057 1
0.2%
6.777699487 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9355251155
Minimum-5.368446165
Maximum0.4185064175
Zeros0
Zeros (%)0.0%
Negative550
Negative (%)94.3%
Memory size4.7 KiB
2023-02-02T09:32:59.400868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-5.368446165
5-th percentile-2.422212763
Q1-1.202752971
median-0.7937341374
Q3-0.4374101803
95-th percentile0.01694935775
Maximum0.4185064175
Range5.786952582
Interquartile range (IQR)0.765342791

Descriptive statistics

Standard deviation0.7704039704
Coefficient of variation (CV)-0.8234989714
Kurtosis4.757306386
Mean-0.9355251155
Median Absolute Deviation (MAD)0.3777074856
Skewness-1.743967759
Sum-545.4111423
Variance0.5935222776
MonotonicityNot monotonic
2023-02-02T09:33:00.338284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9859657449 3
 
0.5%
-0.9046241724 3
 
0.5%
-1.126426275 3
 
0.5%
-0.2616122355 2
 
0.3%
-0.1176593803 2
 
0.3%
-0.6887980355 2
 
0.3%
-1.074031898 2
 
0.3%
-1.982309823 2
 
0.3%
-1.199426996 2
 
0.3%
-0.8888155165 2
 
0.3%
Other values (537) 560
96.1%
ValueCountFrequency (%)
-5.368446165 1
0.2%
-4.819619688 1
0.2%
-4.420103705 1
0.2%
-4.182633164 1
0.2%
-3.803933136 1
0.2%
ValueCountFrequency (%)
0.4185064175 1
0.2%
0.2511951511 1
0.2%
0.2157828193 1
0.2%
0.1577080662 1
0.2%
0.151946856 1
0.2%
Distinct573
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7046582032
Minimum-0.675984595
Maximum5.305678158
Zeros0
Zeros (%)0.0%
Negative107
Negative (%)18.4%
Memory size4.7 KiB
2023-02-02T09:33:01.242754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.675984595
5-th percentile-0.1907616131
Q10.086421659
median0.4571868293
Q30.8031848357
95-th percentile3.150155561
Maximum5.305678158
Range5.981662753
Interquartile range (IQR)0.7167631767

Descriptive statistics

Standard deviation1.01544928
Coefficient of variation (CV)1.441052237
Kurtosis4.406740031
Mean0.7046582032
Median Absolute Deviation (MAD)0.3654795901
Skewness2.095268856
Sum410.8157324
Variance1.031137241
MonotonicityNot monotonic
2023-02-02T09:33:02.153280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08973438336 2
 
0.3%
-0.1940169297 2
 
0.3%
4.529353185 2
 
0.3%
0.6110397113 2
 
0.3%
0.4990242302 2
 
0.3%
1.023903057 2
 
0.3%
0.4422952731 2
 
0.3%
0.1037384949 2
 
0.3%
0.1365785678 2
 
0.3%
0.697138184 2
 
0.3%
Other values (563) 563
96.6%
ValueCountFrequency (%)
-0.675984595 1
0.2%
-0.499462797 1
0.2%
-0.4686075992 1
0.2%
-0.4562917893 1
0.2%
-0.4128417695 1
0.2%
ValueCountFrequency (%)
5.305678158 1
0.2%
5.126095174 1
0.2%
4.75268126 1
0.2%
4.735947309 1
0.2%
4.565383409 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4028974509
Minimum-1.184448476
Maximum3.816010382
Zeros0
Zeros (%)0.0%
Negative203
Negative (%)34.8%
Memory size4.7 KiB
2023-02-02T09:33:03.093414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.184448476
5-th percentile-0.3793644541
Q1-0.08417814106
median0.1321710691
Q30.7830351891
95-th percentile1.805510435
Maximum3.816010382
Range5.000458858
Interquartile range (IQR)0.8672133301

Descriptive statistics

Standard deviation0.7074560153
Coefficient of variation (CV)1.755920802
Kurtosis1.295667991
Mean0.4028974509
Median Absolute Deviation (MAD)0.3203910556
Skewness1.14901849
Sum234.8892139
Variance0.5004940136
MonotonicityNot monotonic
2023-02-02T09:33:04.003804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6216694978 2
 
0.3%
-0.02056877838 2
 
0.3%
0.1469343157 2
 
0.3%
0.3323206089 2
 
0.3%
0.1750038309 2
 
0.3%
-0.228905852 1
 
0.2%
-0.2167117167 1
 
0.2%
-0.2842794315 1
 
0.2%
0.7730853374 1
 
0.2%
0.6279314808 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-1.184448476 1
0.2%
-0.9354986926 1
0.2%
-0.8676358661 1
0.2%
-0.8038819934 1
0.2%
-0.7987627602 1
0.2%
ValueCountFrequency (%)
3.816010382 1
0.2%
3.301750536 1
0.2%
2.723826972 1
0.2%
2.605209331 1
0.2%
2.460862179 1
0.2%
Distinct572
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1743315503
Minimum-0.238402248
Maximum0.780298169
Zeros0
Zeros (%)0.0%
Negative108
Negative (%)18.5%
Memory size4.7 KiB
2023-02-02T09:33:05.337371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.238402248
5-th percentile-0.1229941667
Q10.06862336354
median0.1776613049
Q30.3094890116
95-th percentile0.4326485001
Maximum0.780298169
Range1.018700417
Interquartile range (IQR)0.2408656481

Descriptive statistics

Standard deviation0.1761155312
Coefficient of variation (CV)1.010233265
Kurtosis-0.383826375
Mean0.1743315503
Median Absolute Deviation (MAD)0.1270259346
Skewness-0.1152115893
Sum101.6352938
Variance0.03101668034
MonotonicityNot monotonic
2023-02-02T09:33:06.319460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03642663106 2
 
0.3%
0.1167475764 2
 
0.3%
-0.1404445577 2
 
0.3%
0.1116161567 2
 
0.3%
0.100660775 2
 
0.3%
-0.08707708862 2
 
0.3%
0.2814041083 2
 
0.3%
0.2990732179 2
 
0.3%
0.03694508987 2
 
0.3%
0.0374284478 2
 
0.3%
Other values (562) 563
96.6%
ValueCountFrequency (%)
-0.238402248 1
0.2%
-0.2288072934 1
0.2%
-0.2243321359 1
0.2%
-0.2139864512 1
0.2%
-0.1929767286 1
0.2%
ValueCountFrequency (%)
0.780298169 1
0.2%
0.6524111767 1
0.2%
0.6188021813 1
0.2%
0.6141869002 1
0.2%
0.605788387 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3475898451
Minimum-0.3232636573
Maximum0.9865922844
Zeros0
Zeros (%)0.0%
Negative73
Negative (%)12.5%
Memory size4.7 KiB
2023-02-02T09:33:07.202197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3232636573
5-th percentile-0.1362513768
Q10.2141578143
median0.3867507389
Q30.4692242147
95-th percentile0.8219776607
Maximum0.9865922844
Range1.309855942
Interquartile range (IQR)0.2550664003

Descriptive statistics

Standard deviation0.2570655774
Coefficient of variation (CV)0.7395658447
Kurtosis0.05305230044
Mean0.3475898451
Median Absolute Deviation (MAD)0.1084407483
Skewness-0.2102502633
Sum202.6448797
Variance0.0660827111
MonotonicityNot monotonic
2023-02-02T09:33:08.809563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3312173581 2
 
0.3%
0.3936051021 2
 
0.3%
0.7279750817 2
 
0.3%
0.3631043488 2
 
0.3%
0.3632208937 2
 
0.3%
0.3306836691 2
 
0.3%
0.4359057557 1
 
0.2%
0.8050457541 1
 
0.2%
0.5229156036 1
 
0.2%
0.7417252769 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.3232636573 1
0.2%
-0.2598978465 1
0.2%
-0.2274293493 1
0.2%
-0.2217834185 1
0.2%
-0.2191296837 1
0.2%
ValueCountFrequency (%)
0.9865922844 1
0.2%
0.9775865931 1
0.2%
0.9726904915 1
0.2%
0.9442260336 1
0.2%
0.9435319145 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2094703496
Minimum-0.825308441
Maximum0.8723404255
Zeros0
Zeros (%)0.0%
Negative174
Negative (%)29.8%
Memory size4.7 KiB
2023-02-02T09:33:09.783455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.825308441
5-th percentile-0.2373854872
Q1-0.02454678448
median0.08385266858
Q30.5158641938
95-th percentile0.6864796207
Maximum0.8723404255
Range1.697648867
Interquartile range (IQR)0.5404109783

Descriptive statistics

Standard deviation0.3218742625
Coefficient of variation (CV)1.536610137
Kurtosis-0.9183080708
Mean0.2094703496
Median Absolute Deviation (MAD)0.2353125996
Skewness0.05418294957
Sum122.1212138
Variance0.1036030409
MonotonicityNot monotonic
2023-02-02T09:33:10.587120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02120423245 2
 
0.3%
0.01882700469 2
 
0.3%
0.4696957477 2
 
0.3%
0.4818606429 2
 
0.3%
0.5147351475 2
 
0.3%
0.06110248052 1
 
0.2%
0.05681410339 1
 
0.2%
0.02167080891 1
 
0.2%
0.4648934793 1
 
0.2%
0.485056537 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.825308441 1
0.2%
-0.8062404241 1
0.2%
-0.6116832598 1
0.2%
-0.5225938112 1
0.2%
-0.4663978495 1
0.2%
ValueCountFrequency (%)
0.8723404255 1
0.2%
0.8636409763 1
0.2%
0.8526482213 1
0.2%
0.8495472432 1
0.2%
0.8412379405 1
0.2%
Distinct540
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1152291802
Minimum-0.5547309833
Maximum0.7333333333
Zeros0
Zeros (%)0.0%
Negative127
Negative (%)21.8%
Memory size4.7 KiB
2023-02-02T09:33:11.439713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5547309833
5-th percentile-0.2587545717
Q10.02663659821
median0.1247687381
Q30.2361904762
95-th percentile0.4100407914
Maximum0.7333333333
Range1.288064317
Interquartile range (IQR)0.209553878

Descriptive statistics

Standard deviation0.193150769
Coefficient of variation (CV)1.676231391
Kurtosis0.696610019
Mean0.1152291802
Median Absolute Deviation (MAD)0.104628417
Skewness-0.484275352
Sum67.17861205
Variance0.03730721957
MonotonicityNot monotonic
2023-02-02T09:33:12.241536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1193684211 3
 
0.5%
0.4833759591 3
 
0.5%
0.2795125666 2
 
0.3%
0.124037639 2
 
0.3%
0.2104099601 2
 
0.3%
0.07228764721 2
 
0.3%
0.3483146067 2
 
0.3%
0.1150659353 2
 
0.3%
0.08476154993 2
 
0.3%
0.3309312639 2
 
0.3%
Other values (530) 561
96.2%
ValueCountFrequency (%)
-0.5547309833 1
0.2%
-0.4695166383 1
0.2%
-0.4674556213 1
0.2%
-0.4639376218 1
0.2%
-0.4082407949 2
0.3%
ValueCountFrequency (%)
0.7333333333 1
0.2%
0.6266447368 1
0.2%
0.5931301939 1
0.2%
0.5810442441 1
0.2%
0.5633886256 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1184566963
Minimum-0.475
Maximum0.2394936709
Zeros1
Zeros (%)0.2%
Negative521
Negative (%)89.4%
Memory size4.7 KiB
2023-02-02T09:33:12.905984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.475
5-th percentile-0.2655053428
Q1-0.1788367546
median-0.1255922012
Q3-0.06028707931
95-th percentile0.0386101373
Maximum0.2394936709
Range0.7144936709
Interquartile range (IQR)0.1185496753

Descriptive statistics

Standard deviation0.09419994091
Coefficient of variation (CV)-0.7952268113
Kurtosis0.7734491222
Mean-0.1184566963
Median Absolute Deviation (MAD)0.05988902166
Skewness0.2181914666
Sum-69.06025397
Variance0.008873628867
MonotonicityNot monotonic
2023-02-02T09:33:13.548178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0801080108 2
 
0.3%
-0.130655253 2
 
0.3%
-0.1901973684 2
 
0.3%
-0.05139524955 2
 
0.3%
-0.06085696802 2
 
0.3%
-0.1426529688 2
 
0.3%
-0.08860099877 2
 
0.3%
0.01232665639 2
 
0.3%
-0.1844262295 2
 
0.3%
-0.05269565217 2
 
0.3%
Other values (537) 563
96.6%
ValueCountFrequency (%)
-0.475 1
0.2%
-0.4099173554 1
0.2%
-0.3783403657 1
0.2%
-0.3529948313 1
0.2%
-0.3439865433 1
0.2%
ValueCountFrequency (%)
0.2394936709 1
0.2%
0.1969466937 1
0.2%
0.179357022 1
0.2%
0.1734481322 1
0.2%
0.1686523829 1
0.2%
Distinct551
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07389608724
Minimum-0.7204301075
Maximum0.2827735645
Zeros0
Zeros (%)0.0%
Negative415
Negative (%)71.2%
Memory size4.7 KiB
2023-02-02T09:33:14.211507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.7204301075
5-th percentile-0.2989987899
Q1-0.1500483559
median-0.05474008596
Q30.007158289892
95-th percentile0.1111111111
Maximum0.2827735645
Range1.003203672
Interquartile range (IQR)0.1572066458

Descriptive statistics

Standard deviation0.1240711531
Coefficient of variation (CV)-1.678994893
Kurtosis1.487140265
Mean-0.07389608724
Median Absolute Deviation (MAD)0.07615326862
Skewness-0.6428563953
Sum-43.08141886
Variance0.01539365103
MonotonicityNot monotonic
2023-02-02T09:33:14.846084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02521008403 3
 
0.5%
-0.09413680782 3
 
0.5%
-0.008388800845 2
 
0.3%
-0.02113095238 2
 
0.3%
0.02550958628 2
 
0.3%
-0.06301273897 2
 
0.3%
-0.2300711307 2
 
0.3%
-0.04519177932 2
 
0.3%
-0.07838983051 2
 
0.3%
-0.01676602086 2
 
0.3%
Other values (541) 561
96.2%
ValueCountFrequency (%)
-0.7204301075 1
0.2%
-0.5822769528 1
0.2%
-0.4721961153 1
0.2%
-0.4411764706 1
0.2%
-0.4224422442 1
0.2%
ValueCountFrequency (%)
0.2827735645 1
0.2%
0.2758725897 1
0.2%
0.2413793103 1
0.2%
0.1987760324 1
0.2%
0.178573657 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.128894567
Minimum-0.1923076923
Maximum0.5823407649
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:33:15.536331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1923076923
5-th percentile-0.07521640769
Q1-0.0287311883
median0.1379790514
Q30.2420120906
95-th percentile0.4189110752
Maximum0.5823407649
Range0.7746484572
Interquartile range (IQR)0.2707432789

Descriptive statistics

Standard deviation0.1738876478
Coefficient of variation (CV)1.349068869
Kurtosis-0.7966737323
Mean0.128894567
Median Absolute Deviation (MAD)0.1534441843
Skewness0.4542912517
Sum75.14553258
Variance0.03023691404
MonotonicityNot monotonic
2023-02-02T09:33:16.298437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2553147456 4
 
0.7%
0.2548374519 3
 
0.5%
-0.06868131868 2
 
0.3%
0.2356444772 2
 
0.3%
0.2224305238 2
 
0.3%
0.3257915571 2
 
0.3%
0.300260043 2
 
0.3%
0.3184172395 2
 
0.3%
0.5333387594 2
 
0.3%
0.2480898533 2
 
0.3%
Other values (534) 560
96.1%
ValueCountFrequency (%)
-0.1923076923 1
0.2%
-0.1713246554 2
0.3%
-0.1700680272 1
0.2%
-0.1547035427 1
0.2%
-0.1411239363 1
0.2%
ValueCountFrequency (%)
0.5823407649 1
0.2%
0.5696455317 1
0.2%
0.5658031088 1
0.2%
0.5492067427 1
0.2%
0.5390467599 1
0.2%
Distinct573
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1941050781
Minimum-0.4047619048
Maximum0.8006814642
Zeros0
Zeros (%)0.0%
Negative134
Negative (%)23.0%
Memory size4.7 KiB
2023-02-02T09:33:17.038635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4047619048
5-th percentile-0.1064181473
Q10.01313005088
median0.2110917063
Q30.3255392504
95-th percentile0.5277619424
Maximum0.8006814642
Range1.205443369
Interquartile range (IQR)0.3124091995

Descriptive statistics

Standard deviation0.2015952691
Coefficient of variation (CV)1.038588331
Kurtosis-0.5013854892
Mean0.1941050781
Median Absolute Deviation (MAD)0.1518249691
Skewness0.1345290738
Sum113.1632605
Variance0.04064065251
MonotonicityNot monotonic
2023-02-02T09:33:17.738627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3800918836 2
 
0.3%
0.03811805455 2
 
0.3%
0.2537905613 2
 
0.3%
0.1765274655 2
 
0.3%
0.330352164 2
 
0.3%
0.3155080214 2
 
0.3%
0.1163499359 2
 
0.3%
-0.1454757828 2
 
0.3%
0.2152002409 2
 
0.3%
-0.04778672032 2
 
0.3%
Other values (563) 563
96.6%
ValueCountFrequency (%)
-0.4047619048 1
0.2%
-0.2727272727 1
0.2%
-0.2518730119 1
0.2%
-0.2119418857 1
0.2%
-0.1911720439 1
0.2%
ValueCountFrequency (%)
0.8006814642 1
0.2%
0.7681259175 1
0.2%
0.7674178496 1
0.2%
0.7432895495 1
0.2%
0.6862044438 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09227709256
Minimum-0.5145063236
Maximum0.6605913126
Zeros0
Zeros (%)0.0%
Negative222
Negative (%)38.1%
Memory size4.7 KiB
2023-02-02T09:33:18.398377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5145063236
5-th percentile-0.2216102831
Q1-0.03544879907
median0.04766347977
Q30.2521976219
95-th percentile0.4364894422
Maximum0.6605913126
Range1.175097636
Interquartile range (IQR)0.287646421

Descriptive statistics

Standard deviation0.2069507898
Coefficient of variation (CV)2.242710342
Kurtosis-0.2748256329
Mean0.09227709256
Median Absolute Deviation (MAD)0.1391206056
Skewness0.1735242972
Sum53.79754496
Variance0.04282862939
MonotonicityNot monotonic
2023-02-02T09:33:19.166464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01991421569 2
 
0.3%
-0.01617137848 2
 
0.3%
0.1867840853 2
 
0.3%
0.1774885145 2
 
0.3%
0.2046124888 2
 
0.3%
0.06602853723 1
 
0.2%
0.07290302534 1
 
0.2%
0.01248304771 1
 
0.2%
0.2088932051 1
 
0.2%
0.2637948269 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.5145063236 1
0.2%
-0.4844771242 1
0.2%
-0.4546485261 1
0.2%
-0.4334018148 1
0.2%
-0.3923281991 1
0.2%
ValueCountFrequency (%)
0.6605913126 1
0.2%
0.6581099196 1
0.2%
0.6498061411 1
0.2%
0.6335109082 1
0.2%
0.6229299363 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1229436366
Minimum-0.1949892641
Maximum0.5857912932
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)36.7%
Memory size4.7 KiB
2023-02-02T09:33:20.233625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1949892641
5-th percentile-0.06931739257
Q1-0.01758963804
median0.1247478975
Q30.2219967738
95-th percentile0.4143393809
Maximum0.5857912932
Range0.7807805573
Interquartile range (IQR)0.2395864119

Descriptive statistics

Standard deviation0.1651294469
Coefficient of variation (CV)1.343131304
Kurtosis-0.4909810133
Mean0.1229436366
Median Absolute Deviation (MAD)0.1338453808
Skewness0.5874669354
Sum71.67614012
Variance0.02726773425
MonotonicityNot monotonic
2023-02-02T09:33:21.045552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.233852158 4
 
0.7%
0.2335881022 3
 
0.5%
0.288817847 2
 
0.3%
0.2052235151 2
 
0.3%
0.2003471256 2
 
0.3%
0.2185702803 2
 
0.3%
0.2204564613 2
 
0.3%
0.5306943462 2
 
0.3%
0.2189126862 2
 
0.3%
0.3971739892 2
 
0.3%
Other values (532) 560
96.1%
ValueCountFrequency (%)
-0.1949892641 1
0.2%
-0.1732663236 2
0.3%
-0.1560928874 1
0.2%
-0.1421009767 1
0.2%
-0.1340093914 1
0.2%
ValueCountFrequency (%)
0.5857912932 1
0.2%
0.5719136146 1
0.2%
0.5627379011 1
0.2%
0.5449540905 1
0.2%
0.5341340263 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2020313447
Minimum-0.3842960453
Maximum0.8088944421
Zeros0
Zeros (%)0.0%
Negative130
Negative (%)22.3%
Memory size4.7 KiB
2023-02-02T09:33:22.208412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3842960453
5-th percentile-0.1083686374
Q10.01331091851
median0.2223013435
Q30.3462970277
95-th percentile0.5380408474
Maximum0.8088944421
Range1.193190487
Interquartile range (IQR)0.3329861091

Descriptive statistics

Standard deviation0.2057792375
Coefficient of variation (CV)1.018551046
Kurtosis-0.5948550887
Mean0.2020313447
Median Absolute Deviation (MAD)0.1528725459
Skewness0.1061931637
Sum117.7842739
Variance0.04234509457
MonotonicityNot monotonic
2023-02-02T09:33:23.080294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1146708937 2
 
0.3%
0.04820220711 2
 
0.3%
0.007382061833 2
 
0.3%
0.1952909288 2
 
0.3%
0.2592639706 2
 
0.3%
0.3419311096 2
 
0.3%
0.3468139214 2
 
0.3%
0.3732019463 2
 
0.3%
0.3462970277 2
 
0.3%
0.2356337935 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-0.3842960453 1
0.2%
-0.2578518112 1
0.2%
-0.2167493648 1
0.2%
-0.2041882952 1
0.2%
-0.1928668097 1
0.2%
ValueCountFrequency (%)
0.8088944421 1
0.2%
0.7769589353 1
0.2%
0.7763801186 1
0.2%
0.7526830481 1
0.2%
0.7020386859 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0953223636
Minimum-0.5306721818
Maximum0.6871620568
Zeros0
Zeros (%)0.0%
Negative221
Negative (%)37.9%
Memory size4.7 KiB
2023-02-02T09:33:23.744622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5306721818
5-th percentile-0.2258105456
Q1-0.0351081085
median0.04782812853
Q30.2575233204
95-th percentile0.4450900599
Maximum0.6871620568
Range1.217834239
Interquartile range (IQR)0.2926314289

Descriptive statistics

Standard deviation0.2114048605
Coefficient of variation (CV)2.217788697
Kurtosis-0.2610986765
Mean0.0953223636
Median Absolute Deviation (MAD)0.1424803498
Skewness0.1937542013
Sum55.57293798
Variance0.04469201505
MonotonicityNot monotonic
2023-02-02T09:33:24.458507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02545953245 2
 
0.3%
-0.01438778771 2
 
0.3%
0.1903084784 2
 
0.3%
0.1827567222 2
 
0.3%
0.2093498659 2
 
0.3%
0.06139979796 1
 
0.2%
0.0683422529 1
 
0.2%
0.005360700145 1
 
0.2%
0.2066598247 1
 
0.2%
0.2631394264 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.5306721818 1
0.2%
-0.4845192272 1
0.2%
-0.4469000115 1
0.2%
-0.4467869871 1
0.2%
-0.3998033846 1
0.2%
ValueCountFrequency (%)
0.6871620568 1
0.2%
0.6823732034 1
0.2%
0.6778221601 1
0.2%
0.6448398516 1
0.2%
0.6151308016 1
0.2%
Distinct541
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1189586388
Minimum-0.3716927693
Maximum0.07720455052
Zeros0
Zeros (%)0.0%
Negative563
Negative (%)96.6%
Memory size4.7 KiB
2023-02-02T09:33:25.128000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3716927693
5-th percentile-0.2424344206
Q1-0.1624867892
median-0.1166556305
Q3-0.07523750213
95-th percentile-0.01015559629
Maximum0.07720455052
Range0.4488973198
Interquartile range (IQR)0.08724928702

Descriptive statistics

Standard deviation0.06805800262
Coefficient of variation (CV)-0.57211484
Kurtosis0.1713712459
Mean-0.1189586388
Median Absolute Deviation (MAD)0.04278673249
Skewness-0.1727267937
Sum-69.35288644
Variance0.004631891721
MonotonicityNot monotonic
2023-02-02T09:33:25.727552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1229383606 4
 
0.7%
-0.1316404181 3
 
0.5%
-0.1200011948 3
 
0.5%
-0.1310809257 2
 
0.3%
-0.1314324675 2
 
0.3%
-0.09318051457 2
 
0.3%
-0.1128937666 2
 
0.3%
-0.1909407701 2
 
0.3%
-0.07429485174 2
 
0.3%
-0.09607668149 2
 
0.3%
Other values (531) 559
95.9%
ValueCountFrequency (%)
-0.3716927693 1
0.2%
-0.3204780472 1
0.2%
-0.2926078743 1
0.2%
-0.2917701632 1
0.2%
-0.2843870995 1
0.2%
ValueCountFrequency (%)
0.07720455052 1
0.2%
0.06074012894 1
0.2%
0.05400448945 1
0.2%
0.05227031449 1
0.2%
0.04708070302 1
0.2%
Distinct575
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01827750523
Minimum-0.3106305302
Maximum0.4333055998
Zeros0
Zeros (%)0.0%
Negative256
Negative (%)43.9%
Memory size4.7 KiB
2023-02-02T09:33:26.355741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3106305302
5-th percentile-0.1705773878
Q1-0.08546700272
median0.01843887982
Q30.1055065565
95-th percentile0.2615088411
Maximum0.4333055998
Range0.74393613
Interquartile range (IQR)0.1909735593

Descriptive statistics

Standard deviation0.1338919632
Coefficient of variation (CV)7.325505395
Kurtosis-0.1055442199
Mean0.01827750523
Median Absolute Deviation (MAD)0.09419531011
Skewness0.2784742868
Sum10.65578555
Variance0.0179270578
MonotonicityNot monotonic
2023-02-02T09:33:26.979453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1559861664 2
 
0.3%
0.03781164912 2
 
0.3%
-0.1548510825 2
 
0.3%
0.01843887982 2
 
0.3%
0.04672815001 2
 
0.3%
-0.1726765702 2
 
0.3%
-0.05844190228 2
 
0.3%
-0.1553862548 2
 
0.3%
-0.1211749026 1
 
0.2%
0.02427399435 1
 
0.2%
Other values (565) 565
96.9%
ValueCountFrequency (%)
-0.3106305302 1
0.2%
-0.3057674378 1
0.2%
-0.3056079879 1
0.2%
-0.2923343487 1
0.2%
-0.278596578 1
0.2%
ValueCountFrequency (%)
0.4333055998 1
0.2%
0.388263945 1
0.2%
0.3878038277 1
0.2%
0.3561917333 1
0.2%
0.3529172218 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1224191643
Minimum-0.93804117
Maximum0.2769418932
Zeros0
Zeros (%)0.0%
Negative461
Negative (%)79.1%
Memory size4.7 KiB
2023-02-02T09:33:27.784857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.93804117
5-th percentile-0.4557338005
Q1-0.2093369805
median-0.08694533473
Q3-0.002161429449
95-th percentile0.1090754503
Maximum0.2769418932
Range1.214983063
Interquartile range (IQR)0.207175551

Descriptive statistics

Standard deviation0.1789112005
Coefficient of variation (CV)-1.461463992
Kurtosis2.314653714
Mean-0.1224191643
Median Absolute Deviation (MAD)0.09371890018
Skewness-1.183440865
Sum-71.37037276
Variance0.03200921766
MonotonicityNot monotonic
2023-02-02T09:33:28.558225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3008848837 2
 
0.3%
-0.05269307222 2
 
0.3%
-0.08694533473 2
 
0.3%
-0.2343454505 2
 
0.3%
-0.1640134492 2
 
0.3%
-0.02411568237 1
 
0.2%
-0.01856378134 1
 
0.2%
-0.09964211393 1
 
0.2%
-0.2072224933 1
 
0.2%
-0.08985626845 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.93804117 1
0.2%
-0.917823505 1
0.2%
-0.8761498802 1
0.2%
-0.7798397905 1
0.2%
-0.7227918345 1
0.2%
ValueCountFrequency (%)
0.2769418932 1
0.2%
0.2528254151 1
0.2%
0.2189351462 1
0.2%
0.2026568081 1
0.2%
0.2008848862 1
0.2%
Distinct552
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04032791841
Minimum-1.00321036
Maximum0.5550324523
Zeros0
Zeros (%)0.0%
Negative311
Negative (%)53.3%
Memory size4.7 KiB
2023-02-02T09:33:29.297222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.00321036
5-th percentile-0.3434638395
Q1-0.1525347442
median-0.007705493086
Q30.05125775458
95-th percentile0.2075524824
Maximum0.5550324523
Range1.558242812
Interquartile range (IQR)0.2037924988

Descriptive statistics

Standard deviation0.1881439243
Coefficient of variation (CV)-4.66535174
Kurtosis3.837234492
Mean-0.04032791841
Median Absolute Deviation (MAD)0.08587382901
Skewness-0.7642815819
Sum-23.51117643
Variance0.03539813626
MonotonicityNot monotonic
2023-02-02T09:33:30.116982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02522049397 4
 
0.7%
0.1986362414 2
 
0.3%
-0.01627701185 2
 
0.3%
0.05045478671 2
 
0.3%
0.01897104108 2
 
0.3%
0.0127809294 2
 
0.3%
0.001067020328 2
 
0.3%
-0.01284967472 2
 
0.3%
-0.2262836276 2
 
0.3%
0.04557289939 2
 
0.3%
Other values (542) 561
96.2%
ValueCountFrequency (%)
-1.00321036 1
0.2%
-0.865796488 1
0.2%
-0.8477673334 2
0.3%
-0.8324582877 1
0.2%
-0.8098772469 1
0.2%
ValueCountFrequency (%)
0.5550324523 1
0.2%
0.5530882432 1
0.2%
0.5511755281 1
0.2%
0.5098006627 1
0.2%
0.5001877663 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3772767529
Minimum-0.4318821458
Maximum1.186004243
Zeros0
Zeros (%)0.0%
Negative87
Negative (%)14.9%
Memory size4.7 KiB
2023-02-02T09:33:30.993443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4318821458
5-th percentile-0.1389866866
Q10.1964337293
median0.3974928921
Q30.5190682769
95-th percentile1.077117474
Maximum1.186004243
Range1.617886389
Interquartile range (IQR)0.3226345477

Descriptive statistics

Standard deviation0.3160468042
Coefficient of variation (CV)0.8377054823
Kurtosis0.2979399446
Mean0.3772767529
Median Absolute Deviation (MAD)0.1574849226
Skewness0.2588218252
Sum219.9523469
Variance0.09988558247
MonotonicityNot monotonic
2023-02-02T09:33:31.717005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4404001031 2
 
0.3%
-0.0754637779 2
 
0.3%
0.3708901723 2
 
0.3%
0.3730871167 2
 
0.3%
0.502492135 2
 
0.3%
1.138805328 2
 
0.3%
0.4904017268 2
 
0.3%
1.064049179 2
 
0.3%
0.519708402 2
 
0.3%
0.5513375514 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
-0.4318821458 1
0.2%
-0.4073666854 1
0.2%
-0.3441904318 1
0.2%
-0.3109790431 1
0.2%
-0.2880056434 1
0.2%
ValueCountFrequency (%)
1.186004243 1
0.2%
1.153985686 1
0.2%
1.149595776 1
0.2%
1.148292174 1
0.2%
1.14618205 2
0.3%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2623816032
Minimum-0.4770375666
Maximum0.8920115852
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)20.1%
Memory size4.7 KiB
2023-02-02T09:33:32.531609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4770375666
5-th percentile-0.0989214746
Q10.01552699728
median0.1280546694
Q30.5655662244
95-th percentile0.6760893879
Maximum0.8920115852
Range1.369049152
Interquartile range (IQR)0.5500392271

Descriptive statistics

Standard deviation0.2923637975
Coefficient of variation (CV)1.114269423
Kurtosis-1.477760099
Mean0.2623816032
Median Absolute Deviation (MAD)0.1995713286
Skewness0.2222012907
Sum152.9684747
Variance0.08547659012
MonotonicityNot monotonic
2023-02-02T09:33:33.582848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2062380726 2
 
0.3%
0.0513120772 2
 
0.3%
0.638784916 2
 
0.3%
0.7739821743 2
 
0.3%
0.7203829391 2
 
0.3%
0.2412478988 1
 
0.2%
0.23028884 1
 
0.2%
0.2081162842 1
 
0.2%
0.5235047491 1
 
0.2%
0.5271398197 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.4770375666 1
0.2%
-0.3384247146 1
0.2%
-0.2784390415 1
0.2%
-0.275849002 1
0.2%
-0.2672002493 1
0.2%
ValueCountFrequency (%)
0.8920115852 1
0.2%
0.871258906 1
0.2%
0.7950153921 1
0.2%
0.7912613375 1
0.2%
0.7739821743 2
0.3%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05020160905
Minimum-0.8221380105
Maximum0.3619279547
Zeros0
Zeros (%)0.0%
Negative369
Negative (%)63.3%
Memory size4.7 KiB
2023-02-02T09:33:34.311882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.8221380105
5-th percentile-0.2736734442
Q1-0.1429076918
median-0.02236400536
Q30.03075759936
95-th percentile0.1306276408
Maximum0.3619279547
Range1.184065965
Interquartile range (IQR)0.1736652911

Descriptive statistics

Standard deviation0.1448162695
Coefficient of variation (CV)-2.884693782
Kurtosis2.686055509
Mean-0.05020160905
Median Absolute Deviation (MAD)0.07585155924
Skewness-0.6091697157
Sum-29.26753807
Variance0.0209717519
MonotonicityNot monotonic
2023-02-02T09:33:34.957581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02918734366 3
 
0.5%
0.05307337632 2
 
0.3%
-0.1898696066 2
 
0.3%
-0.106810526 2
 
0.3%
-0.09644666557 2
 
0.3%
-0.01220068091 2
 
0.3%
0.2578471182 2
 
0.3%
-0.02564281367 2
 
0.3%
-0.04416480444 2
 
0.3%
-0.1214031466 2
 
0.3%
Other values (537) 562
96.4%
ValueCountFrequency (%)
-0.8221380105 1
0.2%
-0.6153931454 1
0.2%
-0.5939464957 1
0.2%
-0.5817162439 1
0.2%
-0.5817162439 1
0.2%
ValueCountFrequency (%)
0.3619279547 1
0.2%
0.3469850039 1
0.2%
0.3456962545 1
0.2%
0.3447344725 1
0.2%
0.3411508135 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3366332367
Minimum-0.3456960489
Maximum1.082438908
Zeros0
Zeros (%)0.0%
Negative98
Negative (%)16.8%
Memory size4.7 KiB
2023-02-02T09:33:35.587006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3456960489
5-th percentile-0.1584603268
Q10.1924577614
median0.3584083698
Q30.4637349335
95-th percentile0.9983353048
Maximum1.082438908
Range1.428134957
Interquartile range (IQR)0.2712771721

Descriptive statistics

Standard deviation0.2995234773
Coefficient of variation (CV)0.8897620458
Kurtosis0.2509448499
Mean0.3366332367
Median Absolute Deviation (MAD)0.1243832373
Skewness0.2323392829
Sum196.257177
Variance0.08971431348
MonotonicityNot monotonic
2023-02-02T09:33:36.207490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.353243888 2
 
0.3%
1.01024821 2
 
0.3%
0.3107837132 2
 
0.3%
0.9983834672 2
 
0.3%
0.4227335173 2
 
0.3%
-0.137598663 2
 
0.3%
0.5558215952 2
 
0.3%
0.4534344137 2
 
0.3%
0.4204476078 2
 
0.3%
-0.129771425 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-0.3456960489 1
0.2%
-0.3333421147 1
0.2%
-0.2986574041 1
0.2%
-0.2916650847 1
0.2%
-0.275648691 1
0.2%
ValueCountFrequency (%)
1.082438908 1
0.2%
1.080897497 1
0.2%
1.065874351 1
0.2%
1.057862823 1
0.2%
1.053741215 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2276234728
Minimum-0.4623055455
Maximum0.8221402023
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)26.1%
Memory size4.7 KiB
2023-02-02T09:33:36.887320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4623055455
5-th percentile-0.1457113496
Q1-0.004815547813
median0.1121170748
Q30.5270477988
95-th percentile0.6309453898
Maximum0.8221402023
Range1.284445748
Interquartile range (IQR)0.5318633466

Descriptive statistics

Standard deviation0.2863693731
Coefficient of variation (CV)1.258083665
Kurtosis-1.411387551
Mean0.2276234728
Median Absolute Deviation (MAD)0.2125665968
Skewness0.1522097149
Sum132.7044847
Variance0.08200741782
MonotonicityNot monotonic
2023-02-02T09:33:37.580299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6653531649 2
 
0.3%
0.04370537906 2
 
0.3%
0.1775293107 2
 
0.3%
0.6317000189 2
 
0.3%
0.5597019516 2
 
0.3%
-0.08018153884 2
 
0.3%
0.6024578423 1
 
0.2%
0.1839320069 1
 
0.2%
0.5219668729 1
 
0.2%
0.05887120641 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.4623055455 1
0.2%
-0.4060486371 1
0.2%
-0.374770573 1
0.2%
-0.3632984061 1
0.2%
-0.3091998404 1
0.2%
ValueCountFrequency (%)
0.8221402023 1
0.2%
0.797648472 1
0.2%
0.7614438981 1
0.2%
0.7378385442 1
0.2%
0.7370708637 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0646849572
Minimum-0.9054780081
Maximum0.3808907084
Zeros0
Zeros (%)0.0%
Negative460
Negative (%)78.9%
Memory size4.7 KiB
2023-02-02T09:33:38.223469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9054780081
5-th percentile-0.2836941269
Q1-0.1461313719
median-0.04487471447
Q3-0.009612678295
95-th percentile0.1508979399
Maximum0.3808907084
Range1.286368716
Interquartile range (IQR)0.1365186936

Descriptive statistics

Standard deviation0.1472534833
Coefficient of variation (CV)-2.276471836
Kurtosis2.337730065
Mean-0.0646849572
Median Absolute Deviation (MAD)0.05999853438
Skewness-0.3007381434
Sum-37.71133005
Variance0.02168358834
MonotonicityNot monotonic
2023-02-02T09:33:39.007628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.03515122669 3
 
0.5%
-0.0396238289 3
 
0.5%
0.1191010359 2
 
0.3%
-0.02106976641 2
 
0.3%
-0.04059059093 2
 
0.3%
-0.1323782305 2
 
0.3%
-0.03766117422 2
 
0.3%
-0.04398680232 2
 
0.3%
-0.03926455373 2
 
0.3%
-0.02436680815 2
 
0.3%
Other values (535) 561
96.2%
ValueCountFrequency (%)
-0.9054780081 1
0.2%
-0.5457973051 1
0.2%
-0.5185376226 2
0.3%
-0.4985309323 1
0.2%
-0.4943856547 1
0.2%
ValueCountFrequency (%)
0.3808907084 1
0.2%
0.3418062507 1
0.2%
0.3351548685 1
0.2%
0.3287946773 1
0.2%
0.3257647913 1
0.2%
Distinct574
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3410014581
Minimum-0.3696068844
Maximum1.132071081
Zeros0
Zeros (%)0.0%
Negative92
Negative (%)15.8%
Memory size4.7 KiB
2023-02-02T09:33:39.843544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3696068844
5-th percentile-0.1567466112
Q10.1833365777
median0.3577909049
Q30.4664892278
95-th percentile1.030349386
Maximum1.132071081
Range1.501677966
Interquartile range (IQR)0.2831526501

Descriptive statistics

Standard deviation0.3096448922
Coefficient of variation (CV)0.9080456545
Kurtosis0.3454797031
Mean0.3410014581
Median Absolute Deviation (MAD)0.1324111509
Skewness0.2956598195
Sum198.8038501
Variance0.09587995928
MonotonicityNot monotonic
2023-02-02T09:33:40.673567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3836224956 2
 
0.3%
0.407744875 2
 
0.3%
0.3341660654 2
 
0.3%
1.020617028 2
 
0.3%
-0.1411832329 2
 
0.3%
0.6055533295 2
 
0.3%
-0.1329683281 2
 
0.3%
1.084420111 2
 
0.3%
0.4173302654 2
 
0.3%
0.427301827 1
 
0.2%
Other values (564) 564
96.7%
ValueCountFrequency (%)
-0.3696068844 1
0.2%
-0.3493206965 1
0.2%
-0.3412114102 1
0.2%
-0.3163953585 1
0.2%
-0.3130805894 1
0.2%
ValueCountFrequency (%)
1.132071081 1
0.2%
1.10570249 1
0.2%
1.095276027 1
0.2%
1.095028761 1
0.2%
1.093292421 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2327664006
Minimum-0.4575827428
Maximum0.8552340559
Zeros0
Zeros (%)0.0%
Negative150
Negative (%)25.7%
Memory size4.7 KiB
2023-02-02T09:33:41.433149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4575827428
5-th percentile-0.1425870601
Q1-0.0004597625211
median0.1110708875
Q30.5300480998
95-th percentile0.6308378762
Maximum0.8552340559
Range1.312816799
Interquartile range (IQR)0.5305078623

Descriptive statistics

Standard deviation0.285564022
Coefficient of variation (CV)1.226826643
Kurtosis-1.39914205
Mean0.2327664006
Median Absolute Deviation (MAD)0.2098798913
Skewness0.1498223006
Sum135.7028116
Variance0.08154681065
MonotonicityNot monotonic
2023-02-02T09:33:42.082219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1858103695 2
 
0.3%
0.04948174958 2
 
0.3%
0.5779427342 2
 
0.3%
0.6838051243 2
 
0.3%
0.6479138135 2
 
0.3%
0.1516822482 1
 
0.2%
0.1436551466 1
 
0.2%
0.1153150739 1
 
0.2%
0.4699813367 1
 
0.2%
0.4792328153 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
-0.4575827428 1
0.2%
-0.4221854561 1
0.2%
-0.4161424406 1
0.2%
-0.3302675255 1
0.2%
-0.3082105197 1
0.2%
ValueCountFrequency (%)
0.8552340559 1
0.2%
0.7999992028 1
0.2%
0.784942427 1
0.2%
0.7580848666 1
0.2%
0.7325867662 1
0.2%
Distinct543
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2444704562
Minimum-0.8029373203
Maximum0.6735072995
Zeros0
Zeros (%)0.0%
Negative537
Negative (%)92.1%
Memory size4.7 KiB
2023-02-02T09:33:42.727611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.8029373203
5-th percentile-0.5807457004
Q1-0.3428302372
median-0.2290411391
Q3-0.1482259791
95-th percentile0.06635199114
Maximum0.6735072995
Range1.47644462
Interquartile range (IQR)0.1946042582

Descriptive statistics

Standard deviation0.1943474695
Coefficient of variation (CV)-0.794973235
Kurtosis3.467143232
Mean-0.2444704562
Median Absolute Deviation (MAD)0.09518644333
Skewness0.5143540382
Sum-142.526276
Variance0.03777093889
MonotonicityNot monotonic
2023-02-02T09:33:43.324817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.230241279 3
 
0.5%
-0.2085445845 3
 
0.5%
-0.2185027056 3
 
0.5%
-0.1338546958 2
 
0.3%
-0.4837030918 2
 
0.3%
-0.1688975911 2
 
0.3%
-0.5027449987 2
 
0.3%
-0.1183177046 2
 
0.3%
-0.7055835706 2
 
0.3%
-0.1989616246 2
 
0.3%
Other values (533) 560
96.1%
ValueCountFrequency (%)
-0.8029373203 1
0.2%
-0.7977087766 1
0.2%
-0.7472018268 1
0.2%
-0.7463533874 1
0.2%
-0.7424147501 1
0.2%
ValueCountFrequency (%)
0.6735072995 1
0.2%
0.6550570306 2
0.3%
0.6379255149 1
0.2%
0.6108815964 1
0.2%
0.3666364505 1
0.2%
Distinct572
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003454579004
Minimum-0.4981364256
Maximum0.5913895087
Zeros0
Zeros (%)0.0%
Negative325
Negative (%)55.7%
Memory size4.7 KiB
2023-02-02T09:33:44.004163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4981364256
5-th percentile-0.1796094547
Q1-0.08824856878
median-0.01792290408
Q30.07019427176
95-th percentile0.2376647946
Maximum0.5913895087
Range1.089525934
Interquartile range (IQR)0.1584428405

Descriptive statistics

Standard deviation0.1306450201
Coefficient of variation (CV)-37.817928
Kurtosis1.133389703
Mean-0.003454579004
Median Absolute Deviation (MAD)0.08128343385
Skewness0.3494688999
Sum-2.01401956
Variance0.01706812127
MonotonicityNot monotonic
2023-02-02T09:33:44.692538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.08290377119 2
 
0.3%
0.199366603 2
 
0.3%
-0.1263074583 2
 
0.3%
-0.04638578666 2
 
0.3%
-0.03561926191 2
 
0.3%
-0.1025791993 2
 
0.3%
-0.03550705578 2
 
0.3%
-0.05966302774 2
 
0.3%
-0.1033558837 2
 
0.3%
-0.1589335962 2
 
0.3%
Other values (562) 563
96.6%
ValueCountFrequency (%)
-0.4981364256 1
0.2%
-0.3897807662 1
0.2%
-0.3504545916 1
0.2%
-0.3353645145 1
0.2%
-0.3341891335 1
0.2%
ValueCountFrequency (%)
0.5913895087 1
0.2%
0.3905487667 1
0.2%
0.3717775234 1
0.2%
0.3540250283 1
0.2%
0.3407478864 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08223776178
Minimum-0.7482205091
Maximum0.1630702896
Zeros0
Zeros (%)0.0%
Negative447
Negative (%)76.7%
Memory size4.7 KiB
2023-02-02T09:33:45.639790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.7482205091
5-th percentile-0.3258695856
Q1-0.1421942533
median-0.06273006915
Q3-0.003426591883
95-th percentile0.07841251343
Maximum0.1630702896
Range0.9112907987
Interquartile range (IQR)0.1387676614

Descriptive statistics

Standard deviation0.1217188658
Coefficient of variation (CV)-1.480084856
Kurtosis3.014022872
Mean-0.08223776178
Median Absolute Deviation (MAD)0.06596038043
Skewness-1.240477696
Sum-47.94461512
Variance0.01481548229
MonotonicityNot monotonic
2023-02-02T09:33:46.253038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.04582379677 2
 
0.3%
-0.04738435932 2
 
0.3%
-0.1193053864 2
 
0.3%
-0.06431874451 2
 
0.3%
-0.04397773537 2
 
0.3%
-0.09427735927 2
 
0.3%
0.05103928986 1
 
0.2%
-0.2570606979 1
 
0.2%
-0.1761406464 1
 
0.2%
-0.4385498956 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.7482205091 1
0.2%
-0.6302228032 1
0.2%
-0.5737573749 1
0.2%
-0.5457174193 1
0.2%
-0.4807581437 1
0.2%
ValueCountFrequency (%)
0.1630702896 1
0.2%
0.1623235622 1
0.2%
0.147196275 1
0.2%
0.1422950391 1
0.2%
0.1391205699 1
0.2%
Distinct549
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3217941494
Minimum-0.9778182223
Maximum0.3116252827
Zeros0
Zeros (%)0.0%
Negative550
Negative (%)94.3%
Memory size4.7 KiB
2023-02-02T09:33:46.855729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9778182223
5-th percentile-0.7274948977
Q1-0.4490253855
median-0.2744317714
Q3-0.1801360463
95-th percentile0.009216232714
Maximum0.3116252827
Range1.289443505
Interquartile range (IQR)0.2688893392

Descriptive statistics

Standard deviation0.2151496069
Coefficient of variation (CV)-0.6685939049
Kurtosis0.1379090454
Mean-0.3217941494
Median Absolute Deviation (MAD)0.1207644512
Skewness-0.5365131262
Sum-187.6059891
Variance0.04628935336
MonotonicityNot monotonic
2023-02-02T09:33:47.537752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2720494821 3
 
0.5%
-0.250863986 3
 
0.5%
-0.2635774925 3
 
0.5%
-0.658996086 2
 
0.3%
-0.2593375258 2
 
0.3%
-0.5407321213 2
 
0.3%
-0.238395016 2
 
0.3%
-0.4150494007 2
 
0.3%
-0.2955504081 2
 
0.3%
-0.2482264889 2
 
0.3%
Other values (539) 560
96.1%
ValueCountFrequency (%)
-0.9778182223 1
0.2%
-0.9526687105 1
0.2%
-0.8951121336 1
0.2%
-0.8748330186 1
0.2%
-0.8740289292 2
0.3%
ValueCountFrequency (%)
0.3116252827 1
0.2%
0.270479016 1
0.2%
0.1568053405 1
0.2%
0.1473041805 1
0.2%
0.1428882972 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1941849518
Minimum-0.5231583828
Maximum0.9952672572
Zeros0
Zeros (%)0.0%
Negative107
Negative (%)18.4%
Memory size4.7 KiB
2023-02-02T09:33:48.199001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5231583828
5-th percentile-0.1484342862
Q10.03949311131
median0.1515408793
Q30.2782471594
95-th percentile0.8046500374
Maximum0.9952672572
Range1.51842564
Interquartile range (IQR)0.238754048

Descriptive statistics

Standard deviation0.2620211496
Coefficient of variation (CV)1.349338078
Kurtosis1.221079967
Mean0.1941849518
Median Absolute Deviation (MAD)0.118561112
Skewness1.055235106
Sum113.2098269
Variance0.06865508283
MonotonicityNot monotonic
2023-02-02T09:33:48.866202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06201334109 2
 
0.3%
-0.1587804922 2
 
0.3%
0.07541856896 2
 
0.3%
0.1685419366 2
 
0.3%
0.1982087029 2
 
0.3%
0.9483408212 2
 
0.3%
0.1278851253 2
 
0.3%
0.7708665544 2
 
0.3%
0.162310486 2
 
0.3%
0.09838421703 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
-0.5231583828 1
0.2%
-0.3651804462 1
0.2%
-0.3392398398 1
0.2%
-0.293211726 1
0.2%
-0.2856518582 1
0.2%
ValueCountFrequency (%)
0.9952672572 1
0.2%
0.9624189656 1
0.2%
0.9535364856 1
0.2%
0.9525663957 1
0.2%
0.9483408212 2
0.3%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06445316706
Minimum-0.6434119902
Maximum0.6140572671
Zeros0
Zeros (%)0.0%
Negative203
Negative (%)34.8%
Memory size4.7 KiB
2023-02-02T09:33:49.603096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.6434119902
5-th percentile-0.2502800775
Q1-0.05048944496
median0.05763016256
Q30.1961597954
95-th percentile0.3281086656
Maximum0.6140572671
Range1.257469257
Interquartile range (IQR)0.2466492404

Descriptive statistics

Standard deviation0.1849622956
Coefficient of variation (CV)2.869716168
Kurtosis0.5086437156
Mean0.06445316706
Median Absolute Deviation (MAD)0.1184639738
Skewness-0.2690590184
Sum37.5761964
Variance0.03421105078
MonotonicityNot monotonic
2023-02-02T09:33:50.394134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09652138961 2
 
0.3%
-0.007573967573 2
 
0.3%
0.1301630803 2
 
0.3%
0.05676763996 2
 
0.3%
0.05599108926 2
 
0.3%
-0.128904199 2
 
0.3%
0.1895521426 1
 
0.2%
-0.09871737771 1
 
0.2%
0.1448760307 1
 
0.2%
-0.4289830576 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
-0.6434119902 1
0.2%
-0.5600435652 1
0.2%
-0.497582385 1
0.2%
-0.477701953 1
0.2%
-0.4538461409 1
0.2%
ValueCountFrequency (%)
0.6140572671 1
0.2%
0.573292417 1
0.2%
0.5468885991 1
0.2%
0.5401566675 1
0.2%
0.5384159032 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6010206512
Minimum0.166954957
Maximum1.788526631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:51.051122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.166954957
5-th percentile0.2853949573
Q10.4071585325
median0.5250904841
Q30.7123611269
95-th percentile1.329640728
Maximum1.788526631
Range1.621571674
Interquartile range (IQR)0.3052025944

Descriptive statistics

Standard deviation0.2939492064
Coefficient of variation (CV)0.4890833714
Kurtosis3.279145632
Mean0.6010206512
Median Absolute Deviation (MAD)0.1595350236
Skewness1.706329281
Sum350.3950396
Variance0.08640613592
MonotonicityNot monotonic
2023-02-02T09:33:51.657899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7073629776 2
 
0.3%
0.4539374054 2
 
0.3%
0.7025462963 2
 
0.3%
0.5167147206 2
 
0.3%
0.7173737607 2
 
0.3%
0.5139301925 2
 
0.3%
0.7429459187 2
 
0.3%
0.5082025152 2
 
0.3%
1.594480612 2
 
0.3%
0.689701428 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
0.166954957 1
0.2%
0.1916439412 1
0.2%
0.1972513348 1
0.2%
0.2033368092 1
0.2%
0.2050343249 1
0.2%
ValueCountFrequency (%)
1.788526631 1
0.2%
1.707553096 1
0.2%
1.689055624 1
0.2%
1.673512627 1
0.2%
1.660277261 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6468196449
Minimum0.00602779879
Maximum2.493103559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:52.445482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.00602779879
5-th percentile0.2739336192
Q10.398599944
median0.5107170989
Q30.6922518222
95-th percentile1.563391974
Maximum2.493103559
Range2.487075761
Interquartile range (IQR)0.2936518782

Descriptive statistics

Standard deviation0.4107573341
Coefficient of variation (CV)0.6350415256
Kurtosis2.630875635
Mean0.6468196449
Median Absolute Deviation (MAD)0.1450121493
Skewness1.727771267
Sum377.095853
Variance0.1687215875
MonotonicityNot monotonic
2023-02-02T09:33:53.091514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3586588084 2
 
0.3%
0.5083814531 2
 
0.3%
0.5248973392 2
 
0.3%
0.57131332 2
 
0.3%
0.5341285598 2
 
0.3%
0.1234185919 1
 
0.2%
0.1396987774 1
 
0.2%
0.3120636462 1
 
0.2%
0.5431970392 1
 
0.2%
0.4870218744 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
0.00602779879 1
0.2%
0.06261278012 1
0.2%
0.06386861314 1
0.2%
0.08229279324 1
0.2%
0.09345459754 1
0.2%
ValueCountFrequency (%)
2.493103559 1
0.2%
2.25701278 1
0.2%
2.202844474 1
0.2%
2.049430269 1
0.2%
1.994100444 1
0.2%
Distinct578
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.576069774
Minimum0.01824817518
Maximum2.618731547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:53.661485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01824817518
5-th percentile0.1952036319
Q10.3111198267
median0.433701329
Q30.765383187
95-th percentile1.278494405
Maximum2.618731547
Range2.600483372
Interquartile range (IQR)0.4542633604

Descriptive statistics

Standard deviation0.3842860472
Coefficient of variation (CV)0.6670824691
Kurtosis2.364848058
Mean0.576069774
Median Absolute Deviation (MAD)0.1661063377
Skewness1.460149273
Sum335.8486782
Variance0.1476757661
MonotonicityNot monotonic
2023-02-02T09:33:54.230848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5123341451 2
 
0.3%
0.4060449268 2
 
0.3%
0.330261911 2
 
0.3%
0.433701329 2
 
0.3%
0.3541801757 2
 
0.3%
0.3400749058 1
 
0.2%
0.3420144022 1
 
0.2%
0.4331988973 1
 
0.2%
0.438626523 1
 
0.2%
0.3878186317 1
 
0.2%
Other values (568) 568
97.4%
ValueCountFrequency (%)
0.01824817518 1
0.2%
0.02249357326 1
0.2%
0.03181818182 1
0.2%
0.05718050066 1
0.2%
0.05859020424 1
0.2%
ValueCountFrequency (%)
2.618731547 1
0.2%
2.129189411 1
0.2%
2.079561959 1
0.2%
1.975789145 1
0.2%
1.897896969 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.557123233
Minimum0.554001554
Maximum3.024118738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:54.796985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.554001554
5-th percentile0.8876311189
Q11.376887588
median1.543578441
Q31.677470445
95-th percentile2.426175503
Maximum3.024118738
Range2.470117184
Interquartile range (IQR)0.3005828566

Descriptive statistics

Standard deviation0.3883466353
Coefficient of variation (CV)0.2494000648
Kurtosis1.876359236
Mean1.557123233
Median Absolute Deviation (MAD)0.1471698581
Skewness0.6729584751
Sum907.8028449
Variance0.1508131091
MonotonicityNot monotonic
2023-02-02T09:33:55.318191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.43 3
 
0.5%
1.202046036 3
 
0.5%
1.220611042 3
 
0.5%
1.428143713 3
 
0.5%
1.547182988 3
 
0.5%
1.517100977 3
 
0.5%
1.288248337 3
 
0.5%
1.760670732 3
 
0.5%
1.37156141 2
 
0.3%
1.629072682 2
 
0.3%
Other values (519) 555
95.2%
ValueCountFrequency (%)
0.554001554 1
0.2%
0.5591397849 1
0.2%
0.5674342105 1
0.2%
0.6052631579 1
0.2%
0.6374501992 1
0.2%
ValueCountFrequency (%)
3.024118738 1
0.2%
2.765363128 1
0.2%
2.755896226 1
0.2%
2.704918033 1
0.2%
2.694636678 1
0.2%
Distinct546
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.409239153
Minimum0.2083333333
Maximum2.651195499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:55.971371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.2083333333
5-th percentile0.6213555894
Q11.22226283
median1.390083809
Q31.649909001
95-th percentile2.110494406
Maximum2.651195499
Range2.442862166
Interquartile range (IQR)0.4276461711

Descriptive statistics

Standard deviation0.4076473419
Coefficient of variation (CV)0.2892676811
Kurtosis0.6588954346
Mean1.409239153
Median Absolute Deviation (MAD)0.2169866083
Skewness-0.1228941694
Sum821.5864263
Variance0.1661763554
MonotonicityNot monotonic
2023-02-02T09:33:56.401042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.308469055 3
 
0.5%
1.476877637 3
 
0.5%
1.228622862 2
 
0.3%
1.482425117 2
 
0.3%
1.530587765 2
 
0.3%
1.532618596 2
 
0.3%
1.262105263 2
 
0.3%
1.714072229 2
 
0.3%
1.802375223 2
 
0.3%
1.358741696 2
 
0.3%
Other values (536) 561
96.2%
ValueCountFrequency (%)
0.2083333333 1
0.2%
0.2858145715 1
0.2%
0.3765302835 1
0.2%
0.4061935842 1
0.2%
0.4073801514 1
0.2%
ValueCountFrequency (%)
2.651195499 1
0.2%
2.525195024 1
0.2%
2.51364366 1
0.2%
2.481111111 1
0.2%
2.477990033 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9327219514
Minimum0
Maximum2.485065711
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:56.801549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4419620237
Q10.6928505355
median0.9278370898
Q31.136574757
95-th percentile1.497039246
Maximum2.485065711
Range2.485065711
Interquartile range (IQR)0.4437242215

Descriptive statistics

Standard deviation0.3425566475
Coefficient of variation (CV)0.3672655575
Kurtosis0.6005495531
Mean0.9327219514
Median Absolute Deviation (MAD)0.2302556767
Skewness0.26342981
Sum543.7768977
Variance0.1173450568
MonotonicityNot monotonic
2023-02-02T09:33:57.297681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.2%
0.5589576547 3
 
0.5%
0.5117091539 2
 
0.3%
0.4923809524 2
 
0.3%
1.307769929 2
 
0.3%
0.5078321117 2
 
0.3%
0.8920505872 2
 
0.3%
1.489999331 2
 
0.3%
0.7465106056 2
 
0.3%
0.4416048729 2
 
0.3%
Other values (532) 557
95.5%
ValueCountFrequency (%)
0 7
1.2%
0.1435406699 1
 
0.2%
0.1801801802 1
 
0.2%
0.2202352941 1
 
0.2%
0.2790661719 1
 
0.2%
ValueCountFrequency (%)
2.485065711 1
0.2%
1.880961004 1
0.2%
1.864599483 1
0.2%
1.837190083 1
0.2%
1.822994987 1
0.2%
Distinct537
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.787812162
Minimum0.05655744304
Maximum1.360005873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:57.743172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.05655744304
5-th percentile0.2823216058
Q10.6878326996
median0.8262383466
Q30.9217885868
95-th percentile1.102389116
Maximum1.360005873
Range1.30344843
Interquartile range (IQR)0.2339558872

Descriptive statistics

Standard deviation0.2252828447
Coefficient of variation (CV)0.2859601
Kurtosis1.306763152
Mean0.787812162
Median Absolute Deviation (MAD)0.1176448534
Skewness-0.9262670003
Sum459.2944905
Variance0.0507523601
MonotonicityNot monotonic
2023-02-02T09:33:58.267305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8465433873 4
 
0.7%
0.8472364381 3
 
0.5%
0.8342576454 3
 
0.5%
0.3476048599 2
 
0.3%
0.8273410688 2
 
0.3%
0.8484453589 2
 
0.3%
0.8288888889 2
 
0.3%
0.8842073786 2
 
0.3%
0.7844335778 2
 
0.3%
0.9629289216 2
 
0.3%
Other values (527) 559
95.9%
ValueCountFrequency (%)
0.05655744304 1
0.2%
0.0744140625 1
0.2%
0.09391683057 1
0.2%
0.1082026082 1
0.2%
0.11405902 1
0.2%
ValueCountFrequency (%)
1.360005873 1
0.2%
1.26843104 1
0.2%
1.260348828 1
0.2%
1.255966402 2
0.3%
1.255106154 1
0.2%
Distinct570
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6541505458
Minimum0.04850260417
Maximum2.295918367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:33:58.814834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.04850260417
5-th percentile0.222953344
Q10.4763594751
median0.6066689466
Q30.8240504907
95-th percentile1.135144436
Maximum2.295918367
Range2.247415763
Interquartile range (IQR)0.3476910156

Descriptive statistics

Standard deviation0.2763743516
Coefficient of variation (CV)0.4224934969
Kurtosis2.529009984
Mean0.6541505458
Median Absolute Deviation (MAD)0.1493456973
Skewness0.8892796915
Sum381.3697682
Variance0.07638278221
MonotonicityNot monotonic
2023-02-02T09:33:59.511343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7036754218 2
 
0.3%
0.5310727394 2
 
0.3%
0.9031209363 2
 
0.3%
0.9173109923 2
 
0.3%
0.6296871312 2
 
0.3%
0.5416720285 2
 
0.3%
0.4057932264 2
 
0.3%
0.576733612 2
 
0.3%
0.6438482385 2
 
0.3%
0.9314603758 2
 
0.3%
Other values (560) 563
96.6%
ValueCountFrequency (%)
0.04850260417 1
0.2%
0.05168350736 1
0.2%
0.05817371851 1
0.2%
0.06214156972 1
0.2%
0.06283050065 1
0.2%
ValueCountFrequency (%)
2.295918367 1
0.2%
1.931818182 1
0.2%
1.491550758 1
0.2%
1.374057506 1
0.2%
1.369089342 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6660055734
Minimum0.06570359202
Maximum1.42988118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:00.706791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.06570359202
5-th percentile0.223349573
Q10.5184899034
median0.6097137063
Q30.86941616
95-th percentile1.045975315
Maximum1.42988118
Range1.364177588
Interquartile range (IQR)0.3509262566

Descriptive statistics

Standard deviation0.246457338
Coefficient of variation (CV)0.3700529663
Kurtosis-0.1078744831
Mean0.6660055734
Median Absolute Deviation (MAD)0.1399776572
Skewness0.07629447305
Sum388.2812493
Variance0.06074121945
MonotonicityNot monotonic
2023-02-02T09:34:02.317336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4785413476 2
 
0.3%
0.7920940171 2
 
0.3%
0.607128268 2
 
0.3%
0.4730081111 2
 
0.3%
0.5029416571 2
 
0.3%
0.9461972872 2
 
0.3%
0.4742420914 1
 
0.2%
0.9749140794 1
 
0.2%
0.5797828714 1
 
0.2%
0.6484487042 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.06570359202 1
0.2%
0.06674464896 1
0.2%
0.06713540688 1
0.2%
0.06901624593 1
0.2%
0.06994435038 1
0.2%
ValueCountFrequency (%)
1.42988118 1
0.2%
1.412581699 1
0.2%
1.30313912 1
0.2%
1.295326143 1
0.2%
1.278676688 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7714451187
Minimum0.04661735604
Maximum1.37018017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:03.427170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.04661735604
5-th percentile0.2584085001
Q10.6643871677
median0.7991855841
Q30.9081840491
95-th percentile1.106308732
Maximum1.37018017
Range1.323562814
Interquartile range (IQR)0.2437968814

Descriptive statistics

Standard deviation0.2298260942
Coefficient of variation (CV)0.2979163243
Kurtosis1.171759345
Mean0.7714451187
Median Absolute Deviation (MAD)0.1187142447
Skewness-0.7885512487
Sum449.7525042
Variance0.05282003356
MonotonicityNot monotonic
2023-02-02T09:34:04.074581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8173342052 3
 
0.5%
0.9275650353 2
 
0.3%
0.5592468138 2
 
0.3%
0.6546457155 2
 
0.3%
0.8046039807 2
 
0.3%
0.5924698778 2
 
0.3%
0.7283847459 2
 
0.3%
0.7721394168 2
 
0.3%
0.7897466903 2
 
0.3%
0.8941981424 2
 
0.3%
Other values (532) 562
96.4%
ValueCountFrequency (%)
0.04661735604 1
0.2%
0.06156573774 1
0.2%
0.08377166722 1
0.2%
0.09748621298 1
0.2%
0.102179213 1
0.2%
ValueCountFrequency (%)
1.37018017 1
0.2%
1.276093993 1
0.2%
1.275077074 1
0.2%
1.271510465 2
0.3%
1.264540979 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6440364154
Minimum0.03954677536
Maximum2.209136402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:05.122103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.03954677536
5-th percentile0.2005359002
Q10.4643308497
median0.5992506282
Q30.8142731194
95-th percentile1.12281948
Maximum2.209136402
Range2.169589627
Interquartile range (IQR)0.3499422697

Descriptive statistics

Standard deviation0.278467956
Coefficient of variation (CV)0.4323792092
Kurtosis1.781480682
Mean0.6440364154
Median Absolute Deviation (MAD)0.1582140964
Skewness0.7709175228
Sum375.4732302
Variance0.07754440251
MonotonicityNot monotonic
2023-02-02T09:34:06.133771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7187881058 2
 
0.3%
0.3989079942 2
 
0.3%
0.5230829731 2
 
0.3%
0.9391646369 2
 
0.3%
0.5309652726 2
 
0.3%
0.5728706448 2
 
0.3%
1.342865863 2
 
0.3%
0.9597945526 2
 
0.3%
0.626509419 2
 
0.3%
0.7083482025 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
0.03954677536 1
0.2%
0.0457896656 1
0.2%
0.04712549112 1
0.2%
0.05535362314 1
0.2%
0.05591679621 1
0.2%
ValueCountFrequency (%)
2.209136402 1
0.2%
1.77776934 1
0.2%
1.389075282 1
0.2%
1.369158466 1
0.2%
1.366458466 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6639544275
Minimum0.05502885222
Maximum1.412580612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:07.148624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.05502885222
5-th percentile0.2022946446
Q10.5200190288
median0.6051136592
Q30.8696142719
95-th percentile1.036441202
Maximum1.412580612
Range1.357551759
Interquartile range (IQR)0.3495952432

Descriptive statistics

Standard deviation0.2494735339
Coefficient of variation (CV)0.3757389417
Kurtosis-0.05475721808
Mean0.6639544275
Median Absolute Deviation (MAD)0.1363632262
Skewness0.03686828317
Sum387.0854312
Variance0.06223704412
MonotonicityNot monotonic
2023-02-02T09:34:10.460511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5041467434 2
 
0.3%
0.7770973994 2
 
0.3%
0.6017019507 2
 
0.3%
0.4962981599 2
 
0.3%
0.5239428778 2
 
0.3%
0.9566318367 2
 
0.3%
0.4762122853 1
 
0.2%
0.9835298539 1
 
0.2%
0.5869238686 1
 
0.2%
0.6593783447 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.05502885222 1
0.2%
0.05884022096 1
0.2%
0.0596967885 1
0.2%
0.06167289157 1
0.2%
0.06279559066 1
0.2%
ValueCountFrequency (%)
1.412580612 1
0.2%
1.406560077 1
0.2%
1.307433268 1
0.2%
1.306473418 1
0.2%
1.291271458 1
0.2%
Distinct537
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.388003076
Minimum0.810860419
Maximum1.796498468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:12.075929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.810860419
5-th percentile1.078351664
Q11.306258343
median1.407865065
Q31.500316408
95-th percentile1.604880236
Maximum1.796498468
Range0.9856380488
Interquartile range (IQR)0.1940580652

Descriptive statistics

Standard deviation0.1611392899
Coefficient of variation (CV)0.116094332
Kurtosis0.7798887861
Mean1.388003076
Median Absolute Deviation (MAD)0.09555078216
Skewness-0.6869697
Sum809.2057934
Variance0.02596587074
MonotonicityNot monotonic
2023-02-02T09:34:13.312971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.449538415 4
 
0.7%
1.450713347 3
 
0.5%
1.300044172 3
 
0.5%
1.689108652 2
 
0.3%
1.456631449 2
 
0.3%
1.423422002 2
 
0.3%
1.500661258 2
 
0.3%
1.249760213 2
 
0.3%
1.431666195 2
 
0.3%
1.439787338 2
 
0.3%
Other values (527) 559
95.9%
ValueCountFrequency (%)
0.810860419 1
0.2%
0.866665396 1
0.2%
0.9056657223 1
0.2%
0.9068791887 1
0.2%
0.9233100516 1
0.2%
ValueCountFrequency (%)
1.796498468 1
0.2%
1.776825615 1
0.2%
1.767693313 1
0.2%
1.73489875 1
0.2%
1.723262465 1
0.2%
Distinct570
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9720323407
Minimum0.3480392994
Maximum1.42260991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:14.567189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3480392994
5-th percentile0.6322120543
Q10.8317467663
median0.969103171
Q31.111897349
95-th percentile1.33201958
Maximum1.42260991
Range1.07457061
Interquartile range (IQR)0.280150583

Descriptive statistics

Standard deviation0.203401918
Coefficient of variation (CV)0.2092542701
Kurtosis-0.3433785347
Mean0.9720323407
Median Absolute Deviation (MAD)0.1403600027
Skewness-0.046844095
Sum566.6948547
Variance0.04137234024
MonotonicityNot monotonic
2023-02-02T09:34:15.674108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9529581179 2
 
0.3%
1.083682944 2
 
0.3%
1.074566807 2
 
0.3%
0.7686645804 2
 
0.3%
1.011505039 2
 
0.3%
0.9133624633 2
 
0.3%
1.395579027 2
 
0.3%
1.181785014 2
 
0.3%
1.235652237 2
 
0.3%
1.178058215 2
 
0.3%
Other values (560) 563
96.6%
ValueCountFrequency (%)
0.3480392994 1
0.2%
0.4249885127 1
0.2%
0.4633529745 1
0.2%
0.4662906342 1
0.2%
0.4976869924 1
0.2%
ValueCountFrequency (%)
1.42260991 1
0.2%
1.414117869 1
0.2%
1.39910367 1
0.2%
1.398877306 1
0.2%
1.395579027 2
0.3%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.118806677
Minimum0.6112474013
Maximum2.093482258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:16.490808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.6112474013
5-th percentile0.8350176434
Q10.9857474455
median1.082547385
Q31.21894631
95-th percentile1.521442079
Maximum2.093482258
Range1.482234857
Interquartile range (IQR)0.2331988646

Descriptive statistics

Standard deviation0.2097939656
Coefficient of variation (CV)0.1875158327
Kurtosis2.166236101
Mean1.118806677
Median Absolute Deviation (MAD)0.1110427814
Skewness1.045891355
Sum652.2642924
Variance0.04401350801
MonotonicityNot monotonic
2023-02-02T09:34:17.391279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.150663697 2
 
0.3%
1.027432095 2
 
0.3%
1.451332813 2
 
0.3%
1.124487941 2
 
0.3%
1.069869039 2
 
0.3%
1.106113164 2
 
0.3%
0.8927809216 1
 
0.2%
1.202321341 1
 
0.2%
1.526019292 1
 
0.2%
1.925040666 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.6112474013 1
0.2%
0.6498949288 1
0.2%
0.6637180504 1
0.2%
0.6830258036 1
0.2%
0.6960061051 1
0.2%
ValueCountFrequency (%)
2.093482258 1
0.2%
2.031306415 1
0.2%
1.925040666 1
0.2%
1.879707265 1
0.2%
1.846419823 1
0.2%
Distinct547
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7092062781
Minimum0.2132230444
Maximum2.141924549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:18.603746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.2132230444
5-th percentile0.4020441044
Q10.5599732867
median0.6766951696
Q30.8387539493
95-th percentile1.029003362
Maximum2.141924549
Range1.928701505
Interquartile range (IQR)0.2787806626

Descriptive statistics

Standard deviation0.245679053
Coefficient of variation (CV)0.3464140979
Kurtosis8.869603584
Mean0.7092062781
Median Absolute Deviation (MAD)0.1325807443
Skewness2.055378382
Sum413.4672601
Variance0.06035819709
MonotonicityNot monotonic
2023-02-02T09:34:19.402724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5501468031 4
 
0.7%
0.5628997379 3
 
0.5%
0.599192717 3
 
0.5%
0.9567057845 2
 
0.3%
0.4707691226 2
 
0.3%
0.613897117 2
 
0.3%
0.7015625789 2
 
0.3%
0.3969099408 2
 
0.3%
0.622874364 2
 
0.3%
0.8956294546 2
 
0.3%
Other values (537) 559
95.9%
ValueCountFrequency (%)
0.2132230444 1
0.2%
0.2166379383 1
0.2%
0.2200532257 1
0.2%
0.2256766214 1
0.2%
0.2387841211 1
0.2%
ValueCountFrequency (%)
2.141924549 1
0.2%
2.113376081 1
0.2%
2.081760521 1
0.2%
2.081760521 1
0.2%
2.057936302 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5419079936
Minimum0.04048644377
Maximum2.390653565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:20.266665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.04048644377
5-th percentile0.1189324185
Q10.3409196162
median0.464363238
Q30.6283429089
95-th percentile1.244586749
Maximum2.390653565
Range2.350167121
Interquartile range (IQR)0.2874232927

Descriptive statistics

Standard deviation0.3541470238
Coefficient of variation (CV)0.6535187301
Kurtosis4.912703582
Mean0.5419079936
Median Absolute Deviation (MAD)0.1410499379
Skewness1.859665613
Sum315.9323603
Variance0.1254201145
MonotonicityNot monotonic
2023-02-02T09:34:21.402174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4664197081 2
 
0.3%
0.180725306 2
 
0.3%
0.0861719399 2
 
0.3%
0.5856921565 2
 
0.3%
0.5783898102 2
 
0.3%
0.3590944029 2
 
0.3%
0.3910515855 2
 
0.3%
0.1297195105 2
 
0.3%
0.3119838112 2
 
0.3%
0.3275047732 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
0.04048644377 1
0.2%
0.06148803863 1
0.2%
0.0684827734 1
0.2%
0.07003050768 1
0.2%
0.07294616446 1
0.2%
ValueCountFrequency (%)
2.390653565 1
0.2%
2.283441057 1
0.2%
2.259270262 1
0.2%
2.049300934 1
0.2%
2.036221681 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3947597124
Minimum0.00985167335
Maximum2.26313347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:22.234087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.00985167335
5-th percentile0.08613934053
Q10.1807649823
median0.3089079427
Q30.5379007364
95-th percentile0.9332014886
Maximum2.26313347
Range2.253281796
Interquartile range (IQR)0.3571357541

Descriptive statistics

Standard deviation0.2914604126
Coefficient of variation (CV)0.7383236015
Kurtosis4.154664856
Mean0.3947597124
Median Absolute Deviation (MAD)0.1557650172
Skewness1.621748441
Sum230.1449123
Variance0.08494917211
MonotonicityNot monotonic
2023-02-02T09:34:22.850254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1625105328 2
 
0.3%
0.09809916977 2
 
0.3%
0.1212058577 2
 
0.3%
0.1339519536 2
 
0.3%
0.1179370128 2
 
0.3%
0.8439201199 2
 
0.3%
0.1973324078 1
 
0.2%
0.1574839092 1
 
0.2%
0.256872272 1
 
0.2%
0.3293186782 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.00985167335 1
0.2%
0.03283731261 1
0.2%
0.03587179173 1
0.2%
0.04658453243 1
0.2%
0.05383918824 1
0.2%
ValueCountFrequency (%)
2.26313347 1
0.2%
1.772128275 1
0.2%
1.467414922 1
0.2%
1.455147689 1
0.2%
1.432595728 1
0.2%
Distinct539
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7333170074
Minimum0.3243339911
Maximum1.824613534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:23.459990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3243339911
5-th percentile0.5229813363
Q10.5779573907
median0.6787253185
Q30.8308846839
95-th percentile1.223801497
Maximum1.824613534
Range1.500279543
Interquartile range (IQR)0.2529272932

Descriptive statistics

Standard deviation0.2179039651
Coefficient of variation (CV)0.2971483859
Kurtosis3.941473024
Mean0.7333170074
Median Absolute Deviation (MAD)0.1188852378
Skewness1.714541417
Sum427.5238153
Variance0.04748213801
MonotonicityNot monotonic
2023-02-02T09:34:24.099887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5833871084 3
 
0.5%
0.5575739596 3
 
0.5%
0.5489939355 3
 
0.5%
0.7336335261 2
 
0.3%
0.8540379864 2
 
0.3%
0.8357925449 2
 
0.3%
0.8235520585 2
 
0.3%
0.5199642905 2
 
0.3%
0.5487979774 2
 
0.3%
0.5732838372 2
 
0.3%
Other values (529) 560
96.1%
ValueCountFrequency (%)
0.3243339911 1
0.2%
0.330266923 1
0.2%
0.3502766041 1
0.2%
0.3679925233 1
0.2%
0.3696622033 1
0.2%
ValueCountFrequency (%)
1.824613534 1
0.2%
1.712045618 1
0.2%
1.682480945 2
0.3%
1.661120176 1
0.2%
1.504077706 1
0.2%
Distinct570
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6020067632
Minimum0.04399080807
Maximum1.808049847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:25.195641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.04399080807
5-th percentile0.1722520021
Q10.3914444529
median0.5102769091
Q30.6996917716
95-th percentile1.321678896
Maximum1.808049847
Range1.764059039
Interquartile range (IQR)0.3082473187

Descriptive statistics

Standard deviation0.3357563328
Coefficient of variation (CV)0.5577285062
Kurtosis1.190131729
Mean0.6020067632
Median Absolute Deviation (MAD)0.1436608753
Skewness1.203752448
Sum350.969943
Variance0.112732315
MonotonicityNot monotonic
2023-02-02T09:34:26.255843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5723436509 2
 
0.3%
0.4398431105 2
 
0.3%
0.6832967591 2
 
0.3%
0.1704086296 2
 
0.3%
0.3870159927 2
 
0.3%
0.4543065334 2
 
0.3%
1.039866398 2
 
0.3%
0.3039825942 2
 
0.3%
0.3785884457 2
 
0.3%
1.476440015 2
 
0.3%
Other values (560) 563
96.6%
ValueCountFrequency (%)
0.04399080807 1
0.2%
0.10680807 1
0.2%
0.1154280863 1
0.2%
0.1176071696 1
0.2%
0.1234041942 1
0.2%
ValueCountFrequency (%)
1.808049847 1
0.2%
1.733502621 1
0.2%
1.728324056 1
0.2%
1.710241896 1
0.2%
1.631226613 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4793296744
Minimum0.03352793219
Maximum1.941640294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:27.607157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.03352793219
5-th percentile0.152625343
Q10.2551138323
median0.3645836721
Q30.6985130889
95-th percentile1.078855833
Maximum1.941640294
Range1.908112362
Interquartile range (IQR)0.4433992566

Descriptive statistics

Standard deviation0.2953551663
Coefficient of variation (CV)0.6161837709
Kurtosis0.8073986098
Mean0.4793296744
Median Absolute Deviation (MAD)0.1470820923
Skewness1.08317222
Sum279.4492002
Variance0.08723467425
MonotonicityNot monotonic
2023-02-02T09:34:28.702043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2629086465 2
 
0.3%
0.1986820924 2
 
0.3%
0.1808769052 2
 
0.3%
0.2268887778 2
 
0.3%
0.2151684074 2
 
0.3%
0.8835870657 2
 
0.3%
0.2531690122 1
 
0.2%
0.2357936857 1
 
0.2%
0.3060452894 1
 
0.2%
0.4278921258 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.03352793219 1
0.2%
0.09776782402 1
0.2%
0.1053129846 1
0.2%
0.1095292878 1
0.2%
0.1119572158 1
0.2%
ValueCountFrequency (%)
1.941640294 1
0.2%
1.44341336 1
0.2%
1.391268209 1
0.2%
1.367327506 1
0.2%
1.302107429 1
0.2%
Distinct542
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7805251266
Minimum0.3517415421
Maximum2.208103551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:29.678333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3517415421
5-th percentile0.5404927068
Q10.6183380477
median0.7234189269
Q30.8392659259
95-th percentile1.357381939
Maximum2.208103551
Range1.856362009
Interquartile range (IQR)0.2209278782

Descriptive statistics

Standard deviation0.2532095302
Coefficient of variation (CV)0.3244091978
Kurtosis5.555269566
Mean0.7805251266
Median Absolute Deviation (MAD)0.1091764389
Skewness2.062022605
Sum455.0461488
Variance0.06411506618
MonotonicityNot monotonic
2023-02-02T09:34:31.074869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5930366144 4
 
0.7%
0.6041404186 3
 
0.5%
0.6359119506 3
 
0.5%
0.565991403 2
 
0.3%
0.6675539319 2
 
0.3%
0.8565247559 2
 
0.3%
1.048800816 2
 
0.3%
0.6187055524 2
 
0.3%
0.7916500329 2
 
0.3%
0.8936937009 2
 
0.3%
Other values (532) 559
95.9%
ValueCountFrequency (%)
0.3517415421 1
0.2%
0.3581296791 1
0.2%
0.4184483359 1
0.2%
0.4243485205 1
0.2%
0.430984864 1
0.2%
ValueCountFrequency (%)
2.208103551 1
0.2%
1.969047476 1
0.2%
1.931893515 2
0.3%
1.902413721 1
0.2%
1.728384673 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6337706263
Minimum0.01519206512
Maximum2.117811676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:33.089132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01519206512
5-th percentile0.146133237
Q10.4028739529
median0.5230736369
Q30.69501714
95-th percentile1.4820952
Maximum2.117811676
Range2.102619611
Interquartile range (IQR)0.2921431871

Descriptive statistics

Standard deviation0.4042037808
Coefficient of variation (CV)0.6377761354
Kurtosis1.515656481
Mean0.6337706263
Median Absolute Deviation (MAD)0.1394421181
Skewness1.377589894
Sum369.4882751
Variance0.1633806964
MonotonicityNot monotonic
2023-02-02T09:34:33.948367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5472807886 2
 
0.3%
0.248433999 2
 
0.3%
0.1284777574 2
 
0.3%
0.6595651903 2
 
0.3%
0.6576598817 2
 
0.3%
0.4455320577 2
 
0.3%
0.4732523965 2
 
0.3%
0.152920882 2
 
0.3%
0.3870918612 2
 
0.3%
0.4040215066 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
0.01519206512 1
0.2%
0.08314499804 1
0.2%
0.08873421591 1
0.2%
0.0971737711 1
0.2%
0.09845137002 1
0.2%
ValueCountFrequency (%)
2.117811676 1
0.2%
2.023585047 1
0.2%
1.997084338 1
0.2%
1.974144947 1
0.2%
1.910179905 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4807549979
Minimum0.02146004616
Maximum2.121545122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:34.812183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.02146004616
5-th percentile0.1166148943
Q10.2403528577
median0.3553774076
Q30.6862510866
95-th percentile1.121203891
Maximum2.121545122
Range2.100085076
Interquartile range (IQR)0.4458982289

Descriptive statistics

Standard deviation0.3313803541
Coefficient of variation (CV)0.6892915426
Kurtosis1.304437399
Mean0.4807549979
Median Absolute Deviation (MAD)0.1644702637
Skewness1.222284827
Sum280.2801638
Variance0.1098129391
MonotonicityNot monotonic
2023-02-02T09:34:35.814190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2403734938 2
 
0.3%
0.1507164661 2
 
0.3%
0.1525234694 2
 
0.3%
0.2029785218 2
 
0.3%
0.1854421805 2
 
0.3%
0.8636131555 2
 
0.3%
0.2512905435 1
 
0.2%
0.2539144716 1
 
0.2%
0.3020809319 1
 
0.2%
0.4415582474 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.02146004616 1
0.2%
0.07121280527 1
0.2%
0.07150262387 1
0.2%
0.07373740054 1
0.2%
0.08622183205 1
0.2%
ValueCountFrequency (%)
2.121545122 1
0.2%
1.674130925 1
0.2%
1.603495061 1
0.2%
1.56687498 1
0.2%
1.482855534 1
0.2%
Distinct537
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.726566763
Minimum0.3006335622
Maximum3.021949962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:37.012331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3006335622
5-th percentile0.9811238739
Q11.564656693
median1.770532058
Q31.915457171
95-th percentile2.341164487
Maximum3.021949962
Range2.7213164
Interquartile range (IQR)0.3508004774

Descriptive statistics

Standard deviation0.4100132634
Coefficient of variation (CV)0.237473159
Kurtosis1.294512667
Mean1.726566763
Median Absolute Deviation (MAD)0.1691953333
Skewness-0.1547148311
Sum1006.588423
Variance0.1681108762
MonotonicityNot monotonic
2023-02-02T09:34:37.906705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.858431524 4
 
0.7%
1.87566858 3
 
0.5%
1.766749343 3
 
0.5%
1.731889003 2
 
0.3%
1.365262058 2
 
0.3%
1.781917567 2
 
0.3%
2.466363218 2
 
0.3%
1.627057581 2
 
0.3%
1.300745906 2
 
0.3%
1.423726684 2
 
0.3%
Other values (527) 559
95.9%
ValueCountFrequency (%)
0.3006335622 1
0.2%
0.3662423646 1
0.2%
0.5352940829 1
0.2%
0.5993068186 2
0.3%
0.6217559586 1
0.2%
ValueCountFrequency (%)
3.021949962 1
0.2%
2.898885428 1
0.2%
2.896965361 1
0.2%
2.896719529 1
0.2%
2.888358794 1
0.2%
Distinct572
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9586207922
Minimum0.07497559332
Maximum2.137094534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:38.645040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07497559332
5-th percentile0.3438618128
Q10.7666506169
median0.9921800349
Q31.127122078
95-th percentile1.615043239
Maximum2.137094534
Range2.06211894
Interquartile range (IQR)0.3604714616

Descriptive statistics

Standard deviation0.3530877506
Coefficient of variation (CV)0.3683289091
Kurtosis0.6206281405
Mean0.9586207922
Median Absolute Deviation (MAD)0.1691054807
Skewness0.1506274496
Sum558.8759219
Variance0.1246709596
MonotonicityNot monotonic
2023-02-02T09:34:39.582072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8506339045 2
 
0.3%
0.9501445071 2
 
0.3%
1.009338366 2
 
0.3%
1.038011893 2
 
0.3%
1.195941015 2
 
0.3%
1.125416842 2
 
0.3%
0.9579889362 2
 
0.3%
1.747754467 2
 
0.3%
1.024509246 2
 
0.3%
1.105934862 2
 
0.3%
Other values (562) 563
96.6%
ValueCountFrequency (%)
0.07497559332 1
0.2%
0.07527014722 1
0.2%
0.09172276441 1
0.2%
0.1250089233 1
0.2%
0.1281079835 1
0.2%
ValueCountFrequency (%)
2.137094534 1
0.2%
2.000607936 1
0.2%
1.978515747 1
0.2%
1.89336571 1
0.2%
1.882830901 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9505200184
Minimum0.1543170721
Maximum2.205153159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:40.397196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1543170721
5-th percentile0.5175292435
Q10.7848977671
median0.9331844085
Q31.09028861
95-th percentile1.446262463
Maximum2.205153159
Range2.050836087
Interquartile range (IQR)0.3053908432

Descriptive statistics

Standard deviation0.2801676666
Coefficient of variation (CV)0.2947519896
Kurtosis1.277592039
Mean0.9505200184
Median Absolute Deviation (MAD)0.1542193572
Skewness0.3927326511
Sum554.1531707
Variance0.07849392138
MonotonicityNot monotonic
2023-02-02T09:34:41.114096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6763764675 2
 
0.3%
0.849990906 2
 
0.3%
0.6195949001 2
 
0.3%
0.7478397209 2
 
0.3%
0.7973581347 2
 
0.3%
1.012896444 2
 
0.3%
0.7896025995 1
 
0.2%
1.684944771 1
 
0.2%
0.8952476569 1
 
0.2%
1.213009352 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.1543170721 1
0.2%
0.161044123 1
0.2%
0.1654908524 1
0.2%
0.1726410042 1
0.2%
0.1921112427 1
0.2%
ValueCountFrequency (%)
2.205153159 1
0.2%
1.891688765 1
0.2%
1.802510789 1
0.2%
1.759221956 1
0.2%
1.731495232 1
0.2%
Distinct536
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.60672037
Minimum0.8261478389
Maximum2.800687555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:41.776106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.8261478389
5-th percentile1.216866105
Q11.372657801
median1.522610828
Q31.814008057
95-th percentile2.244306325
Maximum2.800687555
Range1.974539716
Interquartile range (IQR)0.4413502561

Descriptive statistics

Standard deviation0.3288528386
Coefficient of variation (CV)0.2046733487
Kurtosis0.1894880883
Mean1.60672037
Median Absolute Deviation (MAD)0.2053734381
Skewness0.6960392335
Sum936.7179759
Variance0.1081441894
MonotonicityNot monotonic
2023-02-02T09:34:43.299441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.417160042 4
 
0.7%
1.427546104 3
 
0.5%
1.36786908 3
 
0.5%
1.80544792 2
 
0.3%
2.024747582 2
 
0.3%
1.361480219 2
 
0.3%
1.717074539 2
 
0.3%
2.063998094 2
 
0.3%
1.439529503 2
 
0.3%
1.498037796 2
 
0.3%
Other values (526) 559
95.9%
ValueCountFrequency (%)
0.8261478389 1
0.2%
0.8830144412 1
0.2%
0.9025104715 1
0.2%
0.90345882 1
0.2%
0.9102894947 1
0.2%
ValueCountFrequency (%)
2.800687555 1
0.2%
2.647893418 1
0.2%
2.554955211 1
0.2%
2.531284486 1
0.2%
2.495042177 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8620991963
Minimum0.02651799324
Maximum1.864930746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:44.038945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.02651799324
5-th percentile0.2699342337
Q10.741345637
median0.8492994268
Q31.044059551
95-th percentile1.39895845
Maximum1.864930746
Range1.838412752
Interquartile range (IQR)0.3027139136

Descriptive statistics

Standard deviation0.3147740515
Coefficient of variation (CV)0.3651250956
Kurtosis0.04313919438
Mean0.8620991963
Median Absolute Deviation (MAD)0.1602769429
Skewness-0.1370832965
Sum502.6038315
Variance0.09908270348
MonotonicityNot monotonic
2023-02-02T09:34:44.711684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.015143848 2
 
0.3%
0.5667437409 2
 
0.3%
1.044022368 2
 
0.3%
1.076410817 2
 
0.3%
0.8644011314 2
 
0.3%
0.7956508996 2
 
0.3%
0.5531998525 2
 
0.3%
0.2140869971 2
 
0.3%
0.9100716757 2
 
0.3%
0.8484998164 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
0.02651799324 1
0.2%
0.08831908669 1
0.2%
0.1077251868 1
0.2%
0.124270681 1
0.2%
0.1496522632 1
0.2%
ValueCountFrequency (%)
1.864930746 1
0.2%
1.700755972 1
0.2%
1.634054153 1
0.2%
1.621267934 1
0.2%
1.542319776 1
0.2%
Distinct577
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8082759169
Minimum0.1424265668
Maximum2.054610336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:45.631609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1424265668
5-th percentile0.3417754668
Q10.6096244636
median0.7506470564
Q31.058415726
95-th percentile1.313506387
Maximum2.054610336
Range1.91218377
Interquartile range (IQR)0.4487912621

Descriptive statistics

Standard deviation0.3110507908
Coefficient of variation (CV)0.3848324369
Kurtosis0.2360462145
Mean0.8082759169
Median Absolute Deviation (MAD)0.2103202904
Skewness0.5079995221
Sum471.2248596
Variance0.09675259446
MonotonicityNot monotonic
2023-02-02T09:34:46.486204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7909064831 2
 
0.3%
0.4988342107 2
 
0.3%
0.3780819783 2
 
0.3%
0.7827466802 2
 
0.3%
0.7546297813 2
 
0.3%
1.08905058 2
 
0.3%
0.5939409616 1
 
0.2%
0.9433265683 1
 
0.2%
0.8300296766 1
 
0.2%
1.339317342 1
 
0.2%
Other values (567) 567
97.3%
ValueCountFrequency (%)
0.1424265668 1
0.2%
0.1978284551 1
0.2%
0.2274280073 1
0.2%
0.2307708023 1
0.2%
0.2426818712 1
0.2%
ValueCountFrequency (%)
2.054610336 1
0.2%
1.894457818 1
0.2%
1.86299022 1
0.2%
1.842480538 1
0.2%
1.768890026 1
0.2%

Balaban's J index
Real number (ℝ)

Distinct314
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.397681709 × 10-7
Minimum0
Maximum6.759985622 × 10-6
Zeros214
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:47.274854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.022222164 × 10-7
Q35.439999757 × 10-7
95-th percentile1.496399561 × 10-6
Maximum6.759985622 × 10-6
Range6.759985622 × 10-6
Interquartile range (IQR)5.439999757 × 10-7

Descriptive statistics

Standard deviation6.55196792 × 10-7
Coefficient of variation (CV)1.489868607
Kurtosis23.09317607
Mean4.397681709 × 10-7
Median Absolute Deviation (MAD)3.022222164 × 10-7
Skewness0
Sum0.0002563848436
Variance4.292828362 × 10-13
MonotonicityNot monotonic
2023-02-02T09:34:47.939556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 214
36.7%
4.957777598 × 10-74
 
0.7%
5.674331358 × 10-74
 
0.7%
3.359999866 × 10-74
 
0.7%
4.632857017 × 10-73
 
0.5%
2.917777683 × 10-73
 
0.5%
3.314999919 × 10-73
 
0.5%
3.245714196 × 10-73
 
0.5%
4.7220778 × 10-73
 
0.5%
3.818181736 × 10-73
 
0.5%
Other values (304) 339
58.1%
ValueCountFrequency (%)
0 214
36.7%
1.446666642 × 10-71
 
0.2%
1.479999981 × 10-71
 
0.2%
1.619999981 × 10-71
 
0.2%
1.780748586 × 10-71
 
0.2%
ValueCountFrequency (%)
6.759985622 × 10-61
0.2%
4.83999278 × 10-61
0.2%
3.99999514 × 10-61
0.2%
3.609996525 × 10-61
0.2%
3.609996216 × 10-61
0.2%

Bertz CT
Real number (ℝ)

Distinct555
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean425.6729404
Minimum22.7548875
Maximum2239.924491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:48.629015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum22.7548875
5-th percentile99.4328533
Q1236.1851632
median378.9625394
Q3554.2563404
95-th percentile872.2276626
Maximum2239.924491
Range2217.169603
Interquartile range (IQR)318.0711772

Descriptive statistics

Standard deviation289.3227607
Coefficient of variation (CV)0.6796832338
Kurtosis10.4738578
Mean425.6729404
Median Absolute Deviation (MAD)157.2585214
Skewness2.359441663
Sum248167.3242
Variance83707.65984
MonotonicityNot monotonic
2023-02-02T09:34:49.468280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.6970311 4
 
0.7%
565.320378 3
 
0.5%
412.7119429 2
 
0.3%
428.9841188 2
 
0.3%
296.6939693 2
 
0.3%
155.0799285 2
 
0.3%
429.861356 2
 
0.3%
417.0391502 2
 
0.3%
512.8451455 2
 
0.3%
398.6039718 2
 
0.3%
Other values (545) 560
96.1%
ValueCountFrequency (%)
22.7548875 1
0.2%
28.8707654 1
0.2%
37.7931939 1
0.2%
40.95445336 1
0.2%
42.19956586 1
0.2%
ValueCountFrequency (%)
2239.924491 1
0.2%
2213.566677 1
0.2%
2154.800331 1
0.2%
2128.626349 1
0.2%
2110.088857 1
0.2%
Distinct91
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.38421955
Minimum9
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:50.222729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q131
median39
Q349.5
95-th percentile82
Maximum151
Range142
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation19.26367657
Coefficient of variation (CV)0.4440249651
Kurtosis3.199761815
Mean43.38421955
Median Absolute Deviation (MAD)9
Skewness1.452391715
Sum25293
Variance371.0892351
MonotonicityNot monotonic
2023-02-02T09:34:50.983476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 28
 
4.8%
32 21
 
3.6%
45 20
 
3.4%
36 20
 
3.4%
42 19
 
3.3%
38 19
 
3.3%
44 18
 
3.1%
28 17
 
2.9%
39 17
 
2.9%
34 16
 
2.7%
Other values (81) 388
66.6%
ValueCountFrequency (%)
9 1
 
0.2%
12 1
 
0.2%
13 4
0.7%
14 1
 
0.2%
15 1
 
0.2%
ValueCountFrequency (%)
151 1
0.2%
121 1
0.2%
120 1
0.2%
115 1
0.2%
114 2
0.3%
Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.51629503
Minimum4
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:51.700493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.1
Q114
median20
Q325
95-th percentile35
Maximum85
Range81
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.341883222
Coefficient of variation (CV)0.4553396805
Kurtosis10.52278008
Mean20.51629503
Median Absolute Deviation (MAD)5
Skewness2.140700043
Sum11961
Variance87.27078213
MonotonicityNot monotonic
2023-02-02T09:34:52.471014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
16 35
 
6.0%
14 34
 
5.8%
20 32
 
5.5%
15 32
 
5.5%
24 31
 
5.3%
23 30
 
5.1%
26 27
 
4.6%
19 25
 
4.3%
18 25
 
4.3%
21 24
 
4.1%
Other values (36) 288
49.4%
ValueCountFrequency (%)
4 2
 
0.3%
5 3
 
0.5%
6 7
1.2%
7 8
1.4%
8 10
1.7%
ValueCountFrequency (%)
85 1
0.2%
78 2
0.3%
72 1
0.2%
71 1
0.2%
47 1
0.2%
Distinct86
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.00857633
Minimum8
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:53.592386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q126
median35
Q346
95-th percentile80
Maximum127
Range119
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.98620213
Coefficient of variation (CV)0.4867186634
Kurtosis2.081715248
Mean39.00857633
Median Absolute Deviation (MAD)10
Skewness1.32132857
Sum22742
Variance360.4758713
MonotonicityNot monotonic
2023-02-02T09:34:54.404455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 27
 
4.6%
34 23
 
3.9%
35 22
 
3.8%
38 20
 
3.4%
31 20
 
3.4%
30 19
 
3.3%
44 17
 
2.9%
33 17
 
2.9%
32 17
 
2.9%
17 16
 
2.7%
Other values (76) 385
66.0%
ValueCountFrequency (%)
8 1
 
0.2%
10 1
 
0.2%
11 2
0.3%
12 4
0.7%
13 2
0.3%
ValueCountFrequency (%)
127 1
0.2%
115 1
0.2%
112 1
0.2%
110 2
0.3%
106 1
0.2%
Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.523156089
Minimum0
Maximum6
Zeros260
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:54.883685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.653610749
Coefficient of variation (CV)1.085647598
Kurtosis-0.9126330373
Mean1.523156089
Median Absolute Deviation (MAD)1
Skewness0.6466177627
Sum888
Variance2.73442851
MonotonicityNot monotonic
2023-02-02T09:34:55.250875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 260
44.6%
2 129
22.1%
4 117
20.1%
1 50
 
8.6%
3 14
 
2.4%
5 8
 
1.4%
6 5
 
0.9%
ValueCountFrequency (%)
0 260
44.6%
1 50
 
8.6%
2 129
22.1%
3 14
 
2.4%
4 117
20.1%
ValueCountFrequency (%)
6 5
 
0.9%
5 8
 
1.4%
4 117
20.1%
3 14
 
2.4%
2 129
22.1%
Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1372212693
Minimum0
Maximum4
Zeros535
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:55.623631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5127620417
Coefficient of variation (CV)3.736753379
Kurtosis20.69470692
Mean0.1372212693
Median Absolute Deviation (MAD)0
Skewness4.341716512
Sum80
Variance0.2629249114
MonotonicityNot monotonic
2023-02-02T09:34:56.003158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 535
91.8%
1 24
 
4.1%
2 18
 
3.1%
3 4
 
0.7%
4 2
 
0.3%
ValueCountFrequency (%)
0 535
91.8%
1 24
 
4.1%
2 18
 
3.1%
3 4
 
0.7%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
3 4
 
0.7%
2 18
 
3.1%
1 24
 
4.1%
0 535
91.8%
Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715265866
Minimum0
Maximum30
Zeros349
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:56.424829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.382630142
Coefficient of variation (CV)1.614070356
Kurtosis12.29210284
Mean2.715265866
Median Absolute Deviation (MAD)0
Skewness2.896399643
Sum1583
Variance19.20744697
MonotonicityNot monotonic
2023-02-02T09:34:56.799607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
12 8
 
1.4%
10 7
 
1.2%
11 6
 
1.0%
24 4
 
0.7%
29 3
 
0.5%
16 2
 
0.3%
18 2
 
0.3%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 349
59.9%
5 152
26.1%
6 48
 
8.2%
10 7
 
1.2%
11 6
 
1.0%
ValueCountFrequency (%)
30 1
 
0.2%
29 3
0.5%
24 4
0.7%
22 1
 
0.2%
18 2
0.3%
Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.375643225
Minimum0
Maximum30
Zeros128
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:57.476783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile10.9
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.544687268
Coefficient of variation (CV)1.038632958
Kurtosis8.869652663
Mean4.375643225
Median Absolute Deviation (MAD)3
Skewness2.34085964
Sum2551
Variance20.65418236
MonotonicityNot monotonic
2023-02-02T09:34:57.873340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 128
22.0%
2 75
12.9%
4 74
12.7%
5 70
12.0%
7 53
9.1%
1 41
 
7.0%
6 37
 
6.3%
9 26
 
4.5%
8 21
 
3.6%
3 15
 
2.6%
Other values (14) 43
 
7.4%
ValueCountFrequency (%)
0 128
22.0%
1 41
 
7.0%
2 75
12.9%
3 15
 
2.6%
4 74
12.7%
ValueCountFrequency (%)
30 1
 
0.2%
29 3
0.5%
28 1
 
0.2%
25 1
 
0.2%
24 3
0.5%
Distinct88
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.52144082
Minimum8
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:58.350946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile17
Q128
median36
Q347
95-th percentile81
Maximum139
Range131
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.06750001
Coefficient of variation (CV)0.470553357
Kurtosis2.55687507
Mean40.52144082
Median Absolute Deviation (MAD)9
Skewness1.397374892
Sum23624
Variance363.5695567
MonotonicityNot monotonic
2023-02-02T09:34:58.844289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 23
 
3.9%
34 22
 
3.8%
35 21
 
3.6%
38 20
 
3.4%
44 19
 
3.3%
31 18
 
3.1%
30 18
 
3.1%
33 18
 
3.1%
36 18
 
3.1%
28 17
 
2.9%
Other values (78) 389
66.7%
ValueCountFrequency (%)
8 1
0.2%
10 1
0.2%
11 2
0.3%
12 2
0.3%
13 1
0.2%
ValueCountFrequency (%)
139 1
0.2%
115 1
0.2%
112 1
0.2%
110 2
0.3%
107 1
0.2%
Distinct15
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.725557461
Minimum0
Maximum16
Zeros145
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:34:59.254855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.545830495
Coefficient of variation (CV)0.9340586398
Kurtosis4.669512827
Mean2.725557461
Median Absolute Deviation (MAD)2
Skewness1.618125792
Sum1589
Variance6.48125291
MonotonicityNot monotonic
2023-02-02T09:34:59.613471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 145
24.9%
2 142
24.4%
4 125
21.4%
3 45
 
7.7%
1 36
 
6.2%
6 31
 
5.3%
5 25
 
4.3%
7 13
 
2.2%
8 6
 
1.0%
9 4
 
0.7%
Other values (5) 11
 
1.9%
ValueCountFrequency (%)
0 145
24.9%
1 36
 
6.2%
2 142
24.4%
3 45
 
7.7%
4 125
21.4%
ValueCountFrequency (%)
16 1
 
0.2%
15 1
 
0.2%
14 3
0.5%
13 3
0.5%
12 3
0.5%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06003430532
Minimum0
Maximum3
Zeros558
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:00.007015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3181205528
Coefficient of variation (CV)5.298979494
Kurtosis46.96161866
Mean0.06003430532
Median Absolute Deviation (MAD)0
Skewness6.440760595
Sum35
Variance0.1012006861
MonotonicityNot monotonic
2023-02-02T09:35:00.428363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 558
95.7%
1 18
 
3.1%
2 4
 
0.7%
3 3
 
0.5%
ValueCountFrequency (%)
0 558
95.7%
1 18
 
3.1%
2 4
 
0.7%
3 3
 
0.5%
ValueCountFrequency (%)
3 3
 
0.5%
2 4
 
0.7%
1 18
 
3.1%
0 558
95.7%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01886792453
Minimum0
Maximum4
Zeros579
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:00.860295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2514304534
Coefficient of variation (CV)13.32581403
Kurtosis222.3211243
Mean0.01886792453
Median Absolute Deviation (MAD)0
Skewness14.63427415
Sum11
Variance0.0632172729
MonotonicityNot monotonic
2023-02-02T09:35:01.283944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 579
99.3%
4 2
 
0.3%
2 1
 
0.2%
1 1
 
0.2%
ValueCountFrequency (%)
0 579
99.3%
1 1
 
0.2%
2 1
 
0.2%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
2 1
 
0.2%
1 1
 
0.2%
0 579
99.3%
Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8644939966
Minimum0
Maximum5
Zeros329
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:01.698608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065142026
Coefficient of variation (CV)1.232098812
Kurtosis-0.6672147527
Mean0.8644939966
Median Absolute Deviation (MAD)0
Skewness0.7345925089
Sum504
Variance1.134527536
MonotonicityNot monotonic
2023-02-02T09:35:02.089710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 329
56.4%
2 178
30.5%
1 43
 
7.4%
3 28
 
4.8%
4 4
 
0.7%
5 1
 
0.2%
ValueCountFrequency (%)
0 329
56.4%
1 43
 
7.4%
2 178
30.5%
3 28
 
4.8%
4 4
 
0.7%
ValueCountFrequency (%)
5 1
 
0.2%
4 4
 
0.7%
3 28
 
4.8%
2 178
30.5%
1 43
 
7.4%
Distinct15
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9159519726
Minimum0
Maximum24
Zeros488
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:02.463889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.00254235
Coefficient of variation (CV)3.278056535
Kurtosis26.90314628
Mean0.9159519726
Median Absolute Deviation (MAD)0
Skewness4.833032307
Sum534
Variance9.015260561
MonotonicityNot monotonic
2023-02-02T09:35:03.218710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 488
83.7%
2 22
 
3.8%
3 18
 
3.1%
5 15
 
2.6%
6 10
 
1.7%
1 9
 
1.5%
16 5
 
0.9%
7 5
 
0.9%
11 3
 
0.5%
24 2
 
0.3%
Other values (5) 6
 
1.0%
ValueCountFrequency (%)
0 488
83.7%
1 9
 
1.5%
2 22
 
3.8%
3 18
 
3.1%
5 15
 
2.6%
ValueCountFrequency (%)
24 2
 
0.3%
23 1
 
0.2%
19 1
 
0.2%
18 2
 
0.3%
16 5
0.9%
Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1835334477
Minimum0
Maximum8
Zeros525
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:03.864887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8304368091
Coefficient of variation (CV)4.524716446
Kurtosis66.19200646
Mean0.1835334477
Median Absolute Deviation (MAD)0
Skewness7.593895409
Sum107
Variance0.689625294
MonotonicityNot monotonic
2023-02-02T09:35:04.244688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 525
90.1%
1 42
 
7.2%
2 8
 
1.4%
8 5
 
0.9%
3 3
 
0.5%
ValueCountFrequency (%)
0 525
90.1%
1 42
 
7.2%
2 8
 
1.4%
3 3
 
0.5%
8 5
 
0.9%
ValueCountFrequency (%)
8 5
 
0.9%
3 3
 
0.5%
2 8
 
1.4%
1 42
 
7.2%
0 525
90.1%
Distinct14
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.319039451
Minimum0
Maximum14
Zeros27
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:04.685375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile8
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.604733552
Coefficient of variation (CV)0.6030816762
Kurtosis-0.4608068334
Mean4.319039451
Median Absolute Deviation (MAD)2
Skewness0.4858315092
Sum2518
Variance6.784636876
MonotonicityNot monotonic
2023-02-02T09:35:05.063131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 131
22.5%
4 127
21.8%
8 86
14.8%
6 69
11.8%
3 48
 
8.2%
1 31
 
5.3%
0 27
 
4.6%
5 26
 
4.5%
10 13
 
2.2%
7 13
 
2.2%
Other values (4) 12
 
2.1%
ValueCountFrequency (%)
0 27
 
4.6%
1 31
 
5.3%
2 131
22.5%
3 48
 
8.2%
4 127
21.8%
ValueCountFrequency (%)
14 1
 
0.2%
12 1
 
0.2%
11 2
 
0.3%
10 13
2.2%
9 8
1.4%
Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.298456261
Minimum0
Maximum30
Zeros152
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:05.697773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile16
Maximum30
Range30
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.202772954
Coefficient of variation (CV)1.210381737
Kurtosis3.018567404
Mean4.298456261
Median Absolute Deviation (MAD)2
Skewness1.747727772
Sum2506
Variance27.06884641
MonotonicityNot monotonic
2023-02-02T09:35:06.167138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 152
26.1%
2 101
17.3%
4 59
 
10.1%
1 50
 
8.6%
3 47
 
8.1%
6 33
 
5.7%
8 26
 
4.5%
10 19
 
3.3%
12 16
 
2.7%
18 15
 
2.6%
Other values (14) 65
11.1%
ValueCountFrequency (%)
0 152
26.1%
1 50
 
8.6%
2 101
17.3%
3 47
 
8.1%
4 59
 
10.1%
ValueCountFrequency (%)
30 1
 
0.2%
28 1
 
0.2%
24 3
0.5%
21 1
 
0.2%
20 2
0.3%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09948542024
Minimum0
Maximum3
Zeros553
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:06.612129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4766540123
Coefficient of variation (CV)4.791194641
Kurtosis27.61519841
Mean0.09948542024
Median Absolute Deviation (MAD)0
Skewness5.253182134
Sum58
Variance0.2271990475
MonotonicityNot monotonic
2023-02-02T09:35:06.933839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 553
94.9%
1 14
 
2.4%
3 12
 
2.1%
2 4
 
0.7%
ValueCountFrequency (%)
0 553
94.9%
1 14
 
2.4%
2 4
 
0.7%
3 12
 
2.1%
ValueCountFrequency (%)
3 12
 
2.1%
2 4
 
0.7%
1 14
 
2.4%
0 553
94.9%

SP3 carbon bound to 4 other carbons
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:07.365390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:35:07.844389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

hybridization ratio
Real number (ℝ)

Distinct83
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8127464325
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:08.326907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3529411765
Q10.6666666667
median0.9
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2269041797
Coefficient of variation (CV)0.2791820064
Kurtosis0.2742508121
Mean0.8127464325
Median Absolute Deviation (MAD)0.1
Skewness-1.070158006
Sum473.8311701
Variance0.05148550679
MonotonicityNot monotonic
2023-02-02T09:35:08.857812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 272
46.7%
0.5 22
 
3.8%
0.6666666667 19
 
3.3%
0.75 19
 
3.3%
0.5714285714 18
 
3.1%
0.625 14
 
2.4%
0.7272727273 14
 
2.4%
0.8333333333 12
 
2.1%
0.4 11
 
1.9%
0.7 11
 
1.9%
Other values (73) 171
29.3%
ValueCountFrequency (%)
0 1
0.2%
0.07692307692 1
0.2%
0.1 1
0.2%
0.1379310345 1
0.2%
0.1428571429 2
0.3%
ValueCountFrequency (%)
1 272
46.7%
0.9615384615 1
 
0.2%
0.9565217391 1
 
0.2%
0.95 1
 
0.2%
0.9473684211 1
 
0.2%
Distinct88
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8017477066
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:09.361646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3102564103
Q10.6666666667
median0.875
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2310434679
Coefficient of variation (CV)0.2881747786
Kurtosis0.1877820413
Mean0.8017477066
Median Absolute Deviation (MAD)0.125
Skewness-1.034647493
Sum467.418913
Variance0.05338108404
MonotonicityNot monotonic
2023-02-02T09:35:09.845845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 253
43.4%
0.5 24
 
4.1%
0.75 20
 
3.4%
0.6666666667 18
 
3.1%
0.5714285714 14
 
2.4%
0.7272727273 14
 
2.4%
0.625 13
 
2.2%
0.8333333333 12
 
2.1%
0.7692307692 11
 
1.9%
0.7 11
 
1.9%
Other values (78) 193
33.1%
ValueCountFrequency (%)
0 1
0.2%
0.07692307692 1
0.2%
0.1 1
0.2%
0.1379310345 1
0.2%
0.1428571429 2
0.3%
ValueCountFrequency (%)
1 253
43.4%
0.9615384615 1
 
0.2%
0.9565217391 1
 
0.2%
0.95 1
 
0.2%
0.9473684211 1
 
0.2%

3-ordered Chi chain weighted by sigma electrons
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:10.219615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:35:10.624931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-ordered Chi chain weighted by sigma electrons
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:11.007666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:35:11.366907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05334638055
Minimum0
Maximum0.1767766953
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:11.757245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1178511302
95-th percentile0.125
Maximum0.1767766953
Range0.1767766953
Interquartile range (IQR)0.1178511302

Descriptive statistics

Standard deviation0.06027628226
Coefficient of variation (CV)1.129903878
Kurtosis-1.763814359
Mean0.05334638055
Median Absolute Deviation (MAD)0
Skewness0.3098594555
Sum31.10093986
Variance0.003633230203
MonotonicityNot monotonic
2023-02-02T09:35:12.149346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 322
55.2%
0.1178511302 136
23.3%
0.125 66
 
11.3%
0.09622504486 27
 
4.6%
0.1443375673 16
 
2.7%
0.07856742013 7
 
1.2%
0.1767766953 7
 
1.2%
0.06415002991 2
 
0.3%
ValueCountFrequency (%)
0 322
55.2%
0.06415002991 2
 
0.3%
0.07856742013 7
 
1.2%
0.09622504486 27
 
4.6%
0.1178511302 136
23.3%
ValueCountFrequency (%)
0.1767766953 7
 
1.2%
0.1443375673 16
 
2.7%
0.125 66
11.3%
0.1178511302 136
23.3%
0.09622504486 27
 
4.6%
Distinct36
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1147443992
Minimum0
Maximum0.5139628261
Zeros221
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:12.594084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.08838834765
Q30.2011844635
95-th percentile0.2604914715
Maximum0.5139628261
Range0.5139628261
Interquartile range (IQR)0.2011844635

Descriptive statistics

Standard deviation0.1080506882
Coefficient of variation (CV)0.9416641592
Kurtosis-0.3892487488
Mean0.1147443992
Median Absolute Deviation (MAD)0.08838834765
Skewness0.4907676442
Sum66.89598473
Variance0.01167495122
MonotonicityNot monotonic
2023-02-02T09:35:13.152299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 221
37.9%
0.2011844635 103
17.7%
0.2133883476 53
 
9.1%
0.08838834765 32
 
5.5%
0.08333333333 25
 
4.3%
0.1020620726 24
 
4.1%
0.1666666667 22
 
3.8%
0.2604914715 15
 
2.6%
0.06804138174 12
 
2.1%
0.1443375673 12
 
2.1%
Other values (26) 64
 
11.0%
ValueCountFrequency (%)
0 221
37.9%
0.06804138174 12
 
2.1%
0.07216878365 4
 
0.7%
0.08333333333 25
 
4.3%
0.08838834765 32
 
5.5%
ValueCountFrequency (%)
0.5139628261 1
 
0.2%
0.4733499905 3
0.5%
0.4306294927 1
 
0.2%
0.4119007535 1
 
0.2%
0.4082482905 3
0.5%
Distinct50
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1073115924
Minimum0
Maximum0.6885540605
Zeros233
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:14.351947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1422588984
Q30.1508883476
95-th percentile0.3003491901
Maximum0.6885540605
Range0.6885540605
Interquartile range (IQR)0.1508883476

Descriptive statistics

Standard deviation0.1148673243
Coefficient of variation (CV)1.07040928
Kurtosis4.288898191
Mean0.1073115924
Median Absolute Deviation (MAD)0.07009011478
Skewness1.573634718
Sum62.56265835
Variance0.01319450219
MonotonicityNot monotonic
2023-02-02T09:35:14.917112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 233
40.0%
0.1422588984 96
16.5%
0.1508883476 74
 
12.7%
0.1666666667 25
 
4.3%
0.1767766953 23
 
3.9%
0.07216878365 17
 
2.9%
0.125 13
 
2.2%
0.2804203308 12
 
2.1%
0.1554376142 11
 
1.9%
0.1178511302 9
 
1.5%
Other values (40) 70
 
12.0%
ValueCountFrequency (%)
0 233
40.0%
0.05103103631 3
 
0.5%
0.0589255651 1
 
0.2%
0.07216878365 17
 
2.9%
0.1020620726 3
 
0.5%
ValueCountFrequency (%)
0.6885540605 1
 
0.2%
0.6415002991 2
0.3%
0.6235939719 1
 
0.2%
0.5635540605 1
 
0.2%
0.5505071889 3
0.5%

3-ordered Chi chain weighted by valence electrons
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:15.400736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:35:15.782750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-ordered Chi chain weighted by valence electrons
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:16.113423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:35:16.416911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct14
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02955332617
Minimum0
Maximum0.1767766953
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:16.770679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.04303314829
95-th percentile0.125
Maximum0.1767766953
Range0.1767766953
Interquartile range (IQR)0.04303314829

Descriptive statistics

Standard deviation0.04234614606
Coefficient of variation (CV)1.432872422
Kurtosis1.716062263
Mean0.02955332617
Median Absolute Deviation (MAD)0
Skewness1.570313823
Sum17.22958916
Variance0.001793196086
MonotonicityNot monotonic
2023-02-02T09:35:17.154989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 322
55.2%
0.04303314829 128
 
22.0%
0.125 58
 
9.9%
0.03726779962 22
 
3.8%
0.0496903995 13
 
2.2%
0.03333333333 8
 
1.4%
0.07216878365 8
 
1.4%
0.025 7
 
1.2%
0.1767766953 7
 
1.2%
0.08838834765 3
 
0.5%
Other values (4) 7
 
1.2%
ValueCountFrequency (%)
0 322
55.2%
0.025 7
 
1.2%
0.02795084972 2
 
0.3%
0.03333333333 8
 
1.4%
0.03726779962 22
 
3.8%
ValueCountFrequency (%)
0.1767766953 7
 
1.2%
0.1443375673 2
 
0.3%
0.125 58
9.9%
0.08838834765 3
 
0.5%
0.07216878365 8
 
1.4%
Distinct47
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05940946861
Minimum0
Maximum0.25
Zeros221
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:17.800651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.05103103631
Q30.07346217926
95-th percentile0.2133883476
Maximum0.25
Range0.25
Interquartile range (IQR)0.07346217926

Descriptive statistics

Standard deviation0.06658174372
Coefficient of variation (CV)1.120726128
Kurtosis0.826405605
Mean0.05940946861
Median Absolute Deviation (MAD)0.05103103631
Skewness1.231518415
Sum34.6357202
Variance0.004433128596
MonotonicityNot monotonic
2023-02-02T09:35:18.558041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 221
37.9%
0.07346217926 99
17.0%
0.2133883476 45
 
7.7%
0.02777777778 24
 
4.1%
0.03207501495 21
 
3.6%
0.08838834765 17
 
2.9%
0.05103103631 15
 
2.6%
0.06085806195 15
 
2.6%
0.1008879131 15
 
2.6%
0.06804138174 11
 
1.9%
Other values (37) 100
17.2%
ValueCountFrequency (%)
0 221
37.9%
0.01964185503 1
 
0.2%
0.02405626122 1
 
0.2%
0.02777777778 24
 
4.1%
0.03207501495 21
 
3.6%
ValueCountFrequency (%)
0.25 8
 
1.4%
0.2411661254 2
 
0.3%
0.2133883476 45
7.7%
0.1923398504 3
 
0.5%
0.1767766953 3
 
0.5%
Distinct68
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05551959078
Minimum0
Maximum0.2795084972
Zeros233
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:19.071620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.04741963281
Q30.08711542813
95-th percentile0.1508883476
Maximum0.2795084972
Range0.2795084972
Interquartile range (IQR)0.08711542813

Descriptive statistics

Standard deviation0.06147013965
Coefficient of variation (CV)1.107179264
Kurtosis0.1708975096
Mean0.05551959078
Median Absolute Deviation (MAD)0.04741963281
Skewness0.9787441115
Sum32.36792142
Variance0.003778578069
MonotonicityNot monotonic
2023-02-02T09:35:19.570541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 233
40.0%
0.05194560512 72
 
12.3%
0.1508883476 51
 
8.7%
0.06085806195 24
 
4.1%
0.08711542813 22
 
3.8%
0.04741963281 17
 
2.9%
0.02268046058 17
 
2.9%
0.1351028696 11
 
1.9%
0.1086063271 10
 
1.7%
0.125 9
 
1.5%
Other values (58) 117
20.1%
ValueCountFrequency (%)
0 233
40.0%
0.01603750748 4
 
0.7%
0.02190764263 1
 
0.2%
0.02268046058 17
 
2.9%
0.03333333333 1
 
0.2%
ValueCountFrequency (%)
0.2795084972 2
0.3%
0.2526608849 3
0.5%
0.2385751639 1
 
0.2%
0.2133883476 1
 
0.2%
0.2126868163 1
 
0.2%
Distinct212
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.740277471
Minimum0
Maximum13.97193091
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:20.125835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4927992798
Q11.60309269
median3.140299098
Q35.24279928
95-th percentile8.657765089
Maximum13.97193091
Range13.97193091
Interquartile range (IQR)3.63970659

Descriptive statistics

Standard deviation2.638630881
Coefficient of variation (CV)0.70546394
Kurtosis0.756984721
Mean3.740277471
Median Absolute Deviation (MAD)1.933192317
Skewness0.8990327193
Sum2180.581766
Variance6.962372929
MonotonicityNot monotonic
2023-02-02T09:35:20.730979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 25
 
4.3%
8.657765089 21
 
3.6%
0.4927992798 20
 
3.4%
2.99279928 18
 
3.1%
5.121320344 18
 
3.1%
2.926776695 16
 
2.7%
0.9267766953 15
 
2.6%
5.340990258 15
 
2.6%
2.053459452 13
 
2.2%
5.676776695 11
 
1.9%
Other values (202) 411
70.5%
ValueCountFrequency (%)
0 7
 
1.2%
0.2041241452 4
 
0.7%
0.2886751346 3
 
0.5%
0.4082482905 6
 
1.0%
0.4927992798 20
3.4%
ValueCountFrequency (%)
13.97193091 1
 
0.2%
13.5379535 3
0.5%
13.24927836 1
 
0.2%
10.47487373 1
 
0.2%
10.29683049 1
 
0.2%
Distinct68
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.027258397
Minimum0
Maximum6.373724357
Zeros82
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:21.448501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median0.6767766953
Q30.9785533906
95-th percentile6.123724357
Maximum6.373724357
Range6.373724357
Interquartile range (IQR)0.7285533906

Descriptive statistics

Standard deviation1.539323652
Coefficient of variation (CV)1.498477556
Kurtosis6.535074153
Mean1.027258397
Median Absolute Deviation (MAD)0.3535533906
Skewness2.762837706
Sum598.8916457
Variance2.369517307
MonotonicityNot monotonic
2023-02-02T09:35:22.210015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
14.1%
0.5 57
 
9.8%
0.8535533906 46
 
7.9%
0.125 35
 
6.0%
6.123724357 33
 
5.7%
0.6767766953 26
 
4.5%
0.1767766953 22
 
3.8%
1.030330086 20
 
3.4%
0.9785533906 19
 
3.3%
0.2886751346 18
 
3.1%
Other values (58) 225
38.6%
ValueCountFrequency (%)
0 82
14.1%
0.05555555556 1
 
0.2%
0.06804138174 1
 
0.2%
0.125 35
6.0%
0.1767766953 22
 
3.8%
ValueCountFrequency (%)
6.373724357 2
 
0.3%
6.300501052 3
 
0.5%
6.248724357 6
 
1.0%
6.123724357 33
5.7%
2.916987111 2
 
0.3%
Distinct68
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.827952326
Minimum0
Maximum12.20105208
Zeros230
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:22.933008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7302235659
Q33.621320344
95-th percentile5
Maximum12.20105208
Range12.20105208
Interquartile range (IQR)3.621320344

Descriptive statistics

Standard deviation2.17310142
Coefficient of variation (CV)1.188817339
Kurtosis3.369578336
Mean1.827952326
Median Absolute Deviation (MAD)0.7302235659
Skewness1.470339913
Sum1065.696206
Variance4.722369782
MonotonicityNot monotonic
2023-02-02T09:35:23.517721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
39.5%
3.621320344 82
 
14.1%
2.25 38
 
6.5%
2.449489743 36
 
6.2%
5 25
 
4.3%
0.4330127019 13
 
2.2%
4 11
 
1.9%
3 11
 
1.9%
0.8660254038 10
 
1.7%
0.2041241452 9
 
1.5%
Other values (58) 118
20.2%
ValueCountFrequency (%)
0 230
39.5%
0.08333333333 2
 
0.3%
0.1360827635 1
 
0.2%
0.1642664266 3
 
0.5%
0.1666666667 7
 
1.2%
ValueCountFrequency (%)
12.20105208 4
0.7%
9.414213562 3
0.5%
9.328427125 2
0.3%
9 3
0.5%
7.328427125 2
0.3%
Distinct30
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9890528538
Minimum0
Maximum10.06316413
Zeros275
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:24.090111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1443375673
Q32.267766953
95-th percentile2.75
Maximum10.06316413
Range10.06316413
Interquartile range (IQR)2.267766953

Descriptive statistics

Standard deviation1.385531723
Coefficient of variation (CV)1.400867222
Kurtosis11.37669504
Mean0.9890528538
Median Absolute Deviation (MAD)0.1443375673
Skewness2.456938551
Sum576.6178137
Variance1.919698157
MonotonicityNot monotonic
2023-02-02T09:35:24.802832image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 275
47.2%
2.267766953 93
 
16.0%
0.4082482905 46
 
7.9%
1.5 39
 
6.7%
2.75 26
 
4.5%
0.1443375673 15
 
2.6%
0.2886751346 12
 
2.1%
2.25 11
 
1.9%
1.75 11
 
1.9%
3.060660172 8
 
1.4%
Other values (20) 47
 
8.1%
ValueCountFrequency (%)
0 275
47.2%
0.1020620726 1
 
0.2%
0.1111111111 1
 
0.2%
0.1443375673 15
 
2.6%
0.2041241452 1
 
0.2%
ValueCountFrequency (%)
10.06316413 4
0.7%
5.298097039 2
0.3%
5.060660172 3
0.5%
4.75 3
0.5%
4.298097039 2
0.3%
Distinct281
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.833181323
Minimum0
Maximum47.57298948
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:25.680568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2427444474
Q10.7235743231
median1.388167987
Q32.038248899
95-th percentile3.337359558
Maximum47.57298948
Range47.57298948
Interquartile range (IQR)1.314674576

Descriptive statistics

Standard deviation4.300188125
Coefficient of variation (CV)2.345751657
Kurtosis99.82869588
Mean1.833181323
Median Absolute Deviation (MAD)0.6519006135
Skewness9.799045068
Sum1068.744711
Variance18.49161791
MonotonicityNot monotonic
2023-02-02T09:35:27.027190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.272075922 16
 
2.7%
0.9267766953 14
 
2.4%
2.284701382 14
 
2.4%
2.121320344 13
 
2.2%
0.929714698 13
 
2.2%
1.594676065 13
 
2.2%
0.7071067812 12
 
2.1%
2.065031467 11
 
1.9%
1.034766545 8
 
1.4%
1.526896714 8
 
1.4%
Other values (271) 461
79.1%
ValueCountFrequency (%)
0 7
1.2%
0.02916059218 2
 
0.3%
0.06454972244 1
 
0.2%
0.07082725884 1
 
0.2%
0.07715167498 3
0.5%
ValueCountFrequency (%)
47.57298948 1
0.2%
46.65877592 2
0.3%
46.37844583 1
0.2%
46.15877592 1
0.2%
9.019253726 2
0.3%
Distinct123
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4008840264
Minimum0
Maximum22.69132653
Zeros82
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:27.556217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05455447256
median0.1767766953
Q30.3015805216
95-th percentile0.5244633405
Maximum22.69132653
Range22.69132653
Interquartile range (IQR)0.247026049

Descriptive statistics

Standard deviation2.074590109
Coefficient of variation (CV)5.175038096
Kurtosis109.8097013
Mean0.4008840264
Median Absolute Deviation (MAD)0.1222222227
Skewness10.49530088
Sum233.7153874
Variance4.303924121
MonotonicityNot monotonic
2023-02-02T09:35:28.093867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
14.1%
0.1494633405 42
 
7.2%
0.3749218994 33
 
5.7%
0.01020408163 24
 
4.1%
0.07164084105 23
 
3.9%
0.1767766953 21
 
3.6%
0.125 21
 
3.6%
0.3262400358 15
 
2.6%
0.25 15
 
2.6%
0.375 13
 
2.2%
Other values (113) 294
50.4%
ValueCountFrequency (%)
0 82
14.1%
0.01020408163 24
 
4.1%
0.01349873118 9
 
1.5%
0.01909008871 3
 
0.5%
0.02699746236 5
 
0.9%
ValueCountFrequency (%)
22.69132653 1
0.2%
22.56632653 2
0.3%
22.49310323 1
0.2%
22.44132653 1
0.2%
2.479591837 2
0.3%
Distinct73
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1549110802
Minimum0
Maximum2.192897461
Zeros230
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:28.751018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.05668286325
Q30.2624453296
95-th percentile0.5479390677
Maximum2.192897461
Range2.192897461
Interquartile range (IQR)0.2624453296

Descriptive statistics

Standard deviation0.2742484014
Coefficient of variation (CV)1.770360139
Kurtosis28.40242073
Mean0.1549110802
Median Absolute Deviation (MAD)0.05668286325
Skewness4.594810322
Sum90.31315973
Variance0.07521218567
MonotonicityNot monotonic
2023-02-02T09:35:29.238166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
39.5%
0.2624453296 82
 
14.1%
0.05668286325 36
 
6.2%
0.1247332753 27
 
4.6%
0.4143458243 13
 
2.2%
0.2472322097 12
 
2.1%
0.1794184209 11
 
1.9%
0.111604632 11
 
1.9%
0.04591836735 11
 
1.9%
0.09701476971 11
 
1.9%
Other values (63) 139
23.8%
ValueCountFrequency (%)
0 230
39.5%
0.0128586125 3
 
0.5%
0.01653250178 9
 
1.5%
0.03402069087 6
 
1.0%
0.04591836735 11
 
1.9%
ValueCountFrequency (%)
2.192897461 4
0.7%
2.078726497 2
0.3%
1.239729214 1
 
0.2%
1.128470733 1
 
0.2%
1.038779593 1
 
0.2%
Distinct35
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03859833934
Minimum0
Maximum1.078573126
Zeros275
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:29.811465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003570684756
Q30.06877928928
95-th percentile0.1273123503
Maximum1.078573126
Range1.078573126
Interquartile range (IQR)0.06877928928

Descriptive statistics

Standard deviation0.1009542422
Coefficient of variation (CV)2.6155074
Kurtosis76.13622645
Mean0.03859833934
Median Absolute Deviation (MAD)0.003570684756
Skewness7.87826651
Sum22.50283184
Variance0.01019175901
MonotonicityNot monotonic
2023-02-02T09:35:30.431654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 275
47.2%
0.06877928928 93
 
16.0%
0.003570684756 44
 
7.5%
0.03224741734 28
 
4.8%
0.1160289957 14
 
2.4%
0.0128586125 13
 
2.2%
0.06656852841 12
 
2.1%
0.01157034101 11
 
1.9%
0.04796775641 11
 
1.9%
0.002082899441 11
 
1.9%
Other values (25) 71
 
12.2%
ValueCountFrequency (%)
0 275
47.2%
0.002082899441 11
 
1.9%
0.003570684756 44
 
7.5%
0.00389674804 1
 
0.2%
0.006667038855 2
 
0.3%
ValueCountFrequency (%)
1.078573126 4
0.7%
0.362843289 2
0.3%
0.3574544239 1
 
0.2%
0.3323105608 1
 
0.2%
0.3044815497 1
 
0.2%
Distinct248
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.173818185
Minimum0
Maximum25.40863493
Zeros17
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:31.039345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4107247316
Q11.435660172
median2.694543648
Q39.152745835
95-th percentile13.70341411
Maximum25.40863493
Range25.40863493
Interquartile range (IQR)7.717085663

Descriptive statistics

Standard deviation5.181873685
Coefficient of variation (CV)1.001556974
Kurtosis2.036716936
Mean5.173818185
Median Absolute Deviation (MAD)1.917226572
Skewness1.414243694
Sum3016.336002
Variance26.85181489
MonotonicityNot monotonic
2023-02-02T09:35:31.735428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7773170767 40
 
6.9%
1.435660172 31
 
5.3%
1.5 30
 
5.1%
0 17
 
2.9%
5.277317077 14
 
2.4%
0.4082482905 12
 
2.1%
9.824747468 11
 
1.9%
0.8130525296 10
 
1.7%
2.995042955 9
 
1.5%
1.965990258 9
 
1.5%
Other values (238) 400
68.6%
ValueCountFrequency (%)
0 17
2.9%
0.2886751346 1
 
0.2%
0.4082482905 12
2.1%
0.4330127019 6
 
1.0%
0.4927992798 4
 
0.7%
ValueCountFrequency (%)
25.40863493 2
0.3%
24.81586399 1
0.2%
24.81007841 1
0.2%
24.75029183 1
0.2%
24.61764069 1
0.2%
Distinct290
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.300025452
Minimum0
Maximum39.77512362
Zeros21
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:32.508071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4449700175
Q11.779647493
median2.721008747
Q37.110374394
95-th percentile15.72027958
Maximum39.77512362
Range39.77512362
Interquartile range (IQR)5.330726901

Descriptive statistics

Standard deviation5.916043983
Coefficient of variation (CV)1.116229353
Kurtosis9.155343452
Mean5.300025452
Median Absolute Deviation (MAD)1.594295618
Skewness2.608004455
Sum3089.914839
Variance34.99957641
MonotonicityNot monotonic
2023-02-02T09:35:33.154409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.12671313 28
 
4.8%
2.474873734 27
 
4.6%
0 21
 
3.6%
2.030330086 20
 
3.4%
2.170495129 11
 
1.9%
2.62671313 10
 
1.7%
15.21783009 9
 
1.5%
2.539213562 9
 
1.5%
4.001976402 9
 
1.5%
7.076460598 8
 
1.4%
Other values (280) 431
73.9%
ValueCountFrequency (%)
0 21
3.6%
0.2886751346 1
 
0.2%
0.3535533906 1
 
0.2%
0.4330127019 7
 
1.2%
0.5525858578 1
 
0.2%
ValueCountFrequency (%)
39.77512362 2
0.3%
38.87150667 1
0.2%
38.84623789 1
0.2%
30.26929112 1
0.2%
30.15945616 1
0.2%
Distinct287
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.791973642
Minimum0
Maximum77.10352578
Zeros36
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:33.891687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.248970369
median3.125
Q38.881325151
95-th percentile22.68082265
Maximum77.10352578
Range77.10352578
Interquartile range (IQR)7.632354781

Descriptive statistics

Standard deviation10.05744354
Coefficient of variation (CV)1.480783653
Kurtosis17.54304061
Mean6.791973642
Median Absolute Deviation (MAD)2.161626839
Skewness3.568765956
Sum3959.720633
Variance101.1521705
MonotonicityNot monotonic
2023-02-02T09:35:34.643515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
6.2%
0.963373161 30
 
5.1%
3.125 15
 
2.6%
0.99326645 11
 
1.9%
0.9455054346 10
 
1.7%
3.357995129 9
 
1.5%
0.9023689271 9
 
1.5%
2.215990258 9
 
1.5%
8.918324449 8
 
1.4%
1.972271824 7
 
1.2%
Other values (277) 439
75.3%
ValueCountFrequency (%)
0 36
6.2%
0.2041241452 2
 
0.3%
0.2357022604 3
 
0.5%
0.25 3
 
0.5%
0.2886751346 1
 
0.2%
ValueCountFrequency (%)
77.10352578 2
0.3%
76.35535043 1
0.2%
76.29434619 1
0.2%
48.10552397 1
0.2%
47.60108223 1
0.2%
Distinct307
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.984326333
Minimum0
Maximum10.69408051
Zeros17
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:35.343454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2194160968
Q10.7320268196
median1.519494045
Q32.654180848
95-th percentile4.941433848
Maximum10.69408051
Range10.69408051
Interquartile range (IQR)1.922154028

Descriptive statistics

Standard deviation1.682168982
Coefficient of variation (CV)0.847727994
Kurtosis4.233309897
Mean1.984326333
Median Absolute Deviation (MAD)0.9794214022
Skewness1.710789998
Sum1156.862252
Variance2.829692482
MonotonicityNot monotonic
2023-02-02T09:35:36.101812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.358858933 30
 
5.1%
1.435660172 27
 
4.6%
0 17
 
2.9%
1.5 16
 
2.7%
4.5 13
 
2.2%
1.002352885 11
 
1.9%
1.207106781 9
 
1.5%
2.518323312 9
 
1.5%
1.965990258 8
 
1.4%
3.477006535 8
 
1.4%
Other values (297) 435
74.6%
ValueCountFrequency (%)
0 17
2.9%
0.03726779962 2
 
0.3%
0.0589255651 1
 
0.2%
0.1279779701 1
 
0.2%
0.1971774077 6
 
1.0%
ValueCountFrequency (%)
10.69408051 1
0.2%
10.07276016 1
0.2%
9.204741171 2
0.3%
8.405307394 1
0.2%
8.158813588 1
0.2%
Distinct376
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.350302199
Minimum0
Maximum16.34177901
Zeros21
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:36.883342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1490711985
Q10.5619340793
median2.030330086
Q33.034820753
95-th percentile7.424621202
Maximum16.34177901
Range16.34177901
Interquartile range (IQR)2.472886673

Descriptive statistics

Standard deviation2.27996179
Coefficient of variation (CV)0.9700717595
Kurtosis6.927441356
Mean2.350302199
Median Absolute Deviation (MAD)1.256442019
Skewness2.184760512
Sum1370.226182
Variance5.198225762
MonotonicityNot monotonic
2023-02-02T09:35:37.664692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4588013687 25
 
4.3%
0 21
 
3.6%
2.474873734 16
 
2.7%
2.030330086 15
 
2.6%
7.424621202 11
 
1.9%
0.542037116 9
 
1.5%
3.072276493 9
 
1.5%
2.539213562 7
 
1.2%
2.492716016 7
 
1.2%
0.1490711985 6
 
1.0%
Other values (366) 457
78.4%
ValueCountFrequency (%)
0 21
3.6%
0.01061287474 1
 
0.2%
0.03149703942 1
 
0.2%
0.0634722728 1
 
0.2%
0.08323574727 2
 
0.3%
ValueCountFrequency (%)
16.34177901 1
0.2%
16.1953324 1
0.2%
12.28375397 1
0.2%
12.14073423 1
0.2%
11.43102896 1
0.2%
Distinct367
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.369588269
Minimum0
Maximum24.17278891
Zeros36
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:38.552778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5001458855
median1.612436867
Q33.125
95-th percentile8.431675783
Maximum24.17278891
Range24.17278891
Interquartile range (IQR)2.624854115

Descriptive statistics

Standard deviation2.814655738
Coefficient of variation (CV)1.187824811
Kurtosis13.74022458
Mean2.369588269
Median Absolute Deviation (MAD)1.211720418
Skewness3.030100258
Sum1381.469961
Variance7.922286923
MonotonicityNot monotonic
2023-02-02T09:35:39.630808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
6.2%
0.385279621 25
 
4.3%
3.125 12
 
2.1%
0.3488415031 9
 
1.5%
0.400716449 8
 
1.4%
2.215990258 7
 
1.2%
3.732294778 7
 
1.2%
2.576220623 7
 
1.2%
10.07398539 7
 
1.2%
0.3715314245 6
 
1.0%
Other values (357) 459
78.7%
ValueCountFrequency (%)
0 36
6.2%
0.03015028324 1
 
0.2%
0.04811252243 3
 
0.5%
0.1017175215 1
 
0.2%
0.1054092553 3
 
0.5%
ValueCountFrequency (%)
24.17278891 1
0.2%
22.19423552 1
0.2%
16.79364513 1
0.2%
14.60270413 1
0.2%
14.3662058 1
0.2%
Distinct449
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.793918575
Minimum2.27005561
Maximum37.9440411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:40.281972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.27005561
5-th percentile4.477386361
Q17.075698503
median9.29122366
Q311.77899676
95-th percentile16.53742877
Maximum37.9440411
Range35.67398549
Interquartile range (IQR)4.703298262

Descriptive statistics

Standard deviation4.148040886
Coefficient of variation (CV)0.4235323026
Kurtosis8.78243661
Mean9.793918575
Median Absolute Deviation (MAD)2.404864986
Skewness1.948673646
Sum5709.854529
Variance17.20624319
MonotonicityNot monotonic
2023-02-02T09:35:40.880763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.267766953 8
 
1.4%
7.242640687 5
 
0.9%
12.26776695 5
 
0.9%
4.767766953 4
 
0.7%
6.767766953 4
 
0.7%
10.51776695 4
 
0.7%
6.767766953 4
 
0.7%
10.97487373 4
 
0.7%
10.47487373 4
 
0.7%
12.24264069 3
 
0.5%
Other values (439) 538
92.3%
ValueCountFrequency (%)
2.27005561 1
0.2%
2.828427125 1
0.2%
2.89384685 2
0.3%
3.14626437 2
0.3%
3.328427125 1
0.2%
ValueCountFrequency (%)
37.9440411 1
0.2%
34.19391224 1
0.2%
34.08775909 1
0.2%
31.08775909 1
0.2%
30.58775909 1
0.2%
Distinct460
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.910831169
Minimum1.414213562
Maximum40.48367249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:41.539628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.414213562
5-th percentile3.713172798
Q16.664213562
median9.69664914
Q312.45151259
95-th percentile16.57391268
Maximum40.48367249
Range39.06945892
Interquartile range (IQR)5.787299025

Descriptive statistics

Standard deviation4.69392621
Coefficient of variation (CV)0.4736157977
Kurtosis9.116222457
Mean9.910831169
Median Absolute Deviation (MAD)2.869214851
Skewness1.925669312
Sum5778.014572
Variance22.03294326
MonotonicityNot monotonic
2023-02-02T09:35:42.177536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.75520382 6
 
1.0%
7.121320344 5
 
0.9%
13.84987373 5
 
0.9%
10.05020253 4
 
0.7%
4.121320344 4
 
0.7%
12.56586399 4
 
0.7%
12.2123106 4
 
0.7%
6.621320344 4
 
0.7%
12.10875721 3
 
0.5%
10.91574077 3
 
0.5%
Other values (450) 541
92.8%
ValueCountFrequency (%)
1.414213562 1
0.2%
1.707106781 1
0.2%
1.802095141 1
0.2%
2.060660172 1
0.2%
2.389628766 2
0.3%
ValueCountFrequency (%)
40.48367249 1
0.2%
37.87461675 1
0.2%
37.59440295 1
0.2%
35.75329641 1
0.2%
35.39974302 1
0.2%
Distinct416
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.909386293
Minimum0
Maximum25.85646365
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:42.914703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.64384685
Q13.444543648
median5.40831517
Q37.684369649
95-th percentile11.18607411
Maximum25.85646365
Range25.85646365
Interquartile range (IQR)4.239826001

Descriptive statistics

Standard deviation3.492282918
Coefficient of variation (CV)0.590972183
Kurtosis5.698218162
Mean5.909386293
Median Absolute Deviation (MAD)2.097654998
Skewness1.694661495
Sum3445.172209
Variance12.19603998
MonotonicityNot monotonic
2023-02-02T09:35:43.573996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.64384685 7
 
1.2%
0 7
 
1.2%
2.769342324 6
 
1.0%
2.944543648 6
 
1.0%
2.500339922 6
 
1.0%
10.06954365 5
 
0.9%
5.944543648 5
 
0.9%
6.401650429 5
 
0.9%
2.380766767 5
 
0.9%
5.769342324 4
 
0.7%
Other values (406) 527
90.4%
ValueCountFrequency (%)
0 7
1.2%
0.5 2
 
0.3%
0.7071067812 1
 
0.2%
0.8164965809 3
0.5%
0.8660254038 1
 
0.2%
ValueCountFrequency (%)
25.85646365 1
0.2%
24.22415554 1
0.2%
24.14548392 1
0.2%
22.72415554 1
0.2%
22.47415554 1
0.2%
Distinct368
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.366860851
Minimum0
Maximum18.93718864
Zeros14
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:44.220158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8074747468
Q12.082106781
median3.118347679
Q34.252121933
95-th percentile6.656462841
Maximum18.93718864
Range18.93718864
Interquartile range (IQR)2.170015152

Descriptive statistics

Standard deviation2.157865445
Coefficient of variation (CV)0.6409131653
Kurtosis15.9458909
Mean3.366860851
Median Absolute Deviation (MAD)1.03840179
Skewness2.837239935
Sum1962.879876
Variance4.65638328
MonotonicityNot monotonic
2023-02-02T09:35:44.981268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
2.4%
1.129936127 11
 
1.9%
2.258883476 11
 
1.9%
2.079945889 11
 
1.9%
1.695748723 9
 
1.5%
2.082106781 9
 
1.5%
1.995394899 9
 
1.5%
2.385184431 6
 
1.0%
4.214702959 5
 
0.9%
3.717291213 5
 
0.9%
Other values (358) 493
84.6%
ValueCountFrequency (%)
0 14
2.4%
0.3535533906 3
 
0.5%
0.4714045208 3
 
0.5%
0.5 1
 
0.2%
0.5773502692 1
 
0.2%
ValueCountFrequency (%)
18.93718864 1
0.2%
18.07346447 1
0.2%
17.96213266 1
0.2%
17.0128043 1
0.2%
16.8360276 1
0.2%
Distinct310
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.049141855
Minimum0
Maximum16.87787432
Zeros34
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:45.724590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.066926552
median1.734073505
Q32.715990258
95-th percentile4.306174603
Maximum16.87787432
Range16.87787432
Interquartile range (IQR)1.649063706

Descriptive statistics

Standard deviation1.816458597
Coefficient of variation (CV)0.886448438
Kurtosis28.57067591
Mean2.049141855
Median Absolute Deviation (MAD)0.8265866666
Skewness4.163864455
Sum1194.649702
Variance3.299521834
MonotonicityNot monotonic
2023-02-02T09:35:46.600340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
5.8%
1.325825215 19
 
3.3%
1.207106781 16
 
2.7%
1.278808395 15
 
2.6%
0.9225889843 14
 
2.4%
1.066926552 13
 
2.2%
0.2886751346 11
 
1.9%
1.383883476 8
 
1.4%
1.737436867 8
 
1.4%
1.224744871 6
 
1.0%
Other values (300) 439
75.3%
ValueCountFrequency (%)
0 34
5.8%
0.1666666667 1
 
0.2%
0.1767766953 1
 
0.2%
0.25 2
 
0.3%
0.272165527 1
 
0.2%
ValueCountFrequency (%)
16.87787432 1
0.2%
16.35442681 1
0.2%
16.11981519 1
0.2%
15.36981519 1
0.2%
15.23531399 1
0.2%
Distinct273
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071928685
Minimum0
Maximum14.13674
Zeros64
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:47.452829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3977475644
median0.7285533906
Q31.435660172
95-th percentile2.669059997
Maximum14.13674
Range14.13674
Interquartile range (IQR)1.037912607

Descriptive statistics

Standard deviation1.411090645
Coefficient of variation (CV)1.316403474
Kurtosis47.67176005
Mean1.071928685
Median Absolute Deviation (MAD)0.4440355937
Skewness5.870959852
Sum624.9344232
Variance1.991176808
MonotonicityNot monotonic
2023-02-02T09:35:48.142442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
11.0%
0.3977475644 30
 
5.1%
0.4267766953 16
 
2.7%
0.2845177969 15
 
2.6%
0.4857022604 14
 
2.4%
0.587764333 14
 
2.4%
0.1767766953 9
 
1.5%
0.3017766953 9
 
1.5%
0.7285533906 7
 
1.2%
0.4592793268 7
 
1.2%
Other values (263) 398
68.3%
ValueCountFrequency (%)
0 64
11.0%
0.125 5
 
0.9%
0.1443375673 1
 
0.2%
0.1666666667 1
 
0.2%
0.1767766953 9
 
1.5%
ValueCountFrequency (%)
14.13674 1
0.2%
13.46720827 1
0.2%
13.42332128 1
0.2%
12.88627283 1
0.2%
12.84399733 1
0.2%
Distinct186
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5710332059
Minimum0
Maximum10.98956061
Zeros173
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:48.952717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.28125
Q30.7436969564
95-th percentile1.818242693
Maximum10.98956061
Range10.98956061
Interquartile range (IQR)0.7436969564

Descriptive statistics

Standard deviation1.087513869
Coefficient of variation (CV)1.904466952
Kurtosis56.38481659
Mean0.5710332059
Median Absolute Deviation (MAD)0.28125
Skewness6.627708291
Sum332.912359
Variance1.182686415
MonotonicityNot monotonic
2023-02-02T09:35:49.583346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
29.7%
0.2133883476 32
 
5.5%
0.125 19
 
3.3%
0.2011844635 17
 
2.9%
0.343443362 16
 
2.7%
0.3017766953 16
 
2.7%
0.75 8
 
1.4%
0.2651650429 7
 
1.2%
1.380742693 7
 
1.2%
1.118696956 6
 
1.0%
Other values (176) 282
48.4%
ValueCountFrequency (%)
0 173
29.7%
0.06804138174 4
 
0.7%
0.07216878365 1
 
0.2%
0.08333333333 2
 
0.3%
0.08838834765 4
 
0.7%
ValueCountFrequency (%)
10.98956061 1
0.2%
10.50854767 1
0.2%
10.47751488 1
0.2%
10.13037099 1
0.2%
10.02443006 1
0.2%
Distinct455
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4845732585
Minimum0.4308135083
Maximum0.7071067812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:50.198020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4308135083
5-th percentile0.4469461056
Q10.4633883476
median0.4793130287
Q30.4979605313
95-th percentile0.5329510076
Maximum0.7071067812
Range0.2762932729
Interquartile range (IQR)0.03457218369

Descriptive statistics

Standard deviation0.0322364253
Coefficient of variation (CV)0.06652539061
Kurtosis8.434107008
Mean0.4845732585
Median Absolute Deviation (MAD)0.01679278001
Skewness2.119660996
Sum282.5062097
Variance0.001039187116
MonotonicityNot monotonic
2023-02-02T09:35:51.169625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4834119252 8
 
1.4%
0.4633883476 7
 
1.2%
0.5173314777 5
 
0.9%
0.454361739 5
 
0.9%
0.4546992653 4
 
0.7%
0.5151650429 4
 
0.7%
0.4767766953 4
 
0.7%
0.4572864056 4
 
0.7%
0.4924239116 3
 
0.5%
0.4572942153 3
 
0.5%
Other values (445) 536
91.9%
ValueCountFrequency (%)
0.4308135083 1
0.2%
0.4317744318 1
0.2%
0.4347754941 1
0.2%
0.4368718434 1
0.2%
0.4369083606 2
0.3%
ValueCountFrequency (%)
0.7071067812 1
0.2%
0.6656854249 1
0.2%
0.6380711875 1
0.2%
0.629252874 2
0.3%
0.6183467321 1
0.2%
Distinct480
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3526201935
Minimum0.2720983017
Maximum0.7071067812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:51.781646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.2720983017
5-th percentile0.3082772948
Q10.3286476813
median0.3444902897
Q30.3658573598
95-th percentile0.4168324706
Maximum0.7071067812
Range0.4350084795
Interquartile range (IQR)0.03720967855

Descriptive statistics

Standard deviation0.04305666303
Coefficient of variation (CV)0.1221049271
Kurtosis15.13177133
Mean0.3526201935
Median Absolute Deviation (MAD)0.01895951229
Skewness3.003437907
Sum205.5775728
Variance0.001853876231
MonotonicityNot monotonic
2023-02-02T09:35:52.394579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3147698576 5
 
0.9%
0.3748063339 5
 
0.9%
0.3562182976 4
 
0.7%
0.3170246418 4
 
0.7%
0.3722297234 4
 
0.7%
0.3300624487 4
 
0.7%
0.3306806314 4
 
0.7%
0.3866426343 3
 
0.5%
0.4099408196 3
 
0.5%
0.3511032573 3
 
0.5%
Other values (470) 544
93.3%
ValueCountFrequency (%)
0.2720983017 1
0.2%
0.2817296222 1
0.2%
0.2863722521 1
0.2%
0.2923371467 1
0.2%
0.2924832365 1
0.2%
ValueCountFrequency (%)
0.7071067812 1
0.2%
0.6097893972 2
0.3%
0.5690355937 1
0.2%
0.5464101615 1
0.2%
0.529586683 2
0.3%
Distinct550
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.80739448
Minimum3.700579108
Maximum45.84859299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:53.069124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.700579108
5-th percentile6.568479109
Q110.21118062
median13.40818512
Q316.18449927
95-th percentile22.72255377
Maximum45.84859299
Range42.14801388
Interquartile range (IQR)5.973318652

Descriptive statistics

Standard deviation5.306058777
Coefficient of variation (CV)0.3842910974
Kurtosis4.155608484
Mean13.80739448
Median Absolute Deviation (MAD)3.115068663
Skewness1.334131407
Sum8049.710982
Variance28.15425975
MonotonicityNot monotonic
2023-02-02T09:35:53.675054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.08694516 3
 
0.5%
15.79405194 3
 
0.5%
10.0473918 2
 
0.3%
14.15932842 2
 
0.3%
21.01341964 2
 
0.3%
13.63764049 2
 
0.3%
11.63400423 2
 
0.3%
11.48382076 2
 
0.3%
10.24033005 2
 
0.3%
15.26620956 2
 
0.3%
Other values (540) 561
96.2%
ValueCountFrequency (%)
3.700579108 1
0.2%
4.070669814 1
0.2%
4.304096173 1
0.2%
4.371284018 1
0.2%
4.718964673 1
0.2%
ValueCountFrequency (%)
45.84859299 1
0.2%
38.95678958 1
0.2%
38.66427652 1
0.2%
34.71414889 1
0.2%
34.00704211 1
0.2%
Distinct564
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.484349992
Minimum1.189532624
Maximum27.14575742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:54.356282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.189532624
5-th percentile3.2524656
Q15.672957286
median8.025370435
Q310.34834602
95-th percentile15.39725761
Maximum27.14575742
Range25.9562248
Interquartile range (IQR)4.675388737

Descriptive statistics

Standard deviation3.850272052
Coefficient of variation (CV)0.453808725
Kurtosis1.786363606
Mean8.484349992
Median Absolute Deviation (MAD)2.341339545
Skewness1.009061424
Sum4946.376045
Variance14.82459488
MonotonicityNot monotonic
2023-02-02T09:35:55.089961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.093748049 2
 
0.3%
8.985023649 2
 
0.3%
12.74264069 2
 
0.3%
7.950415929 2
 
0.3%
10.70634488 2
 
0.3%
6.597929636 2
 
0.3%
8.592645124 2
 
0.3%
8.242640687 2
 
0.3%
5.592645124 2
 
0.3%
2.950415929 2
 
0.3%
Other values (554) 563
96.6%
ValueCountFrequency (%)
1.189532624 1
0.2%
1.771621242 1
0.2%
1.868133713 1
0.2%
1.996302181 1
0.2%
2.093748049 2
0.3%
ValueCountFrequency (%)
27.14575742 1
0.2%
24.4297061 1
0.2%
22.43512068 1
0.2%
22.41419284 1
0.2%
21.84852811 1
0.2%
Distinct555
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.157415988
Minimum0.5978626885
Maximum44.35337301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:55.766449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5978626885
5-th percentile2.195193145
Q14.39447211
median6.416641999
Q38.96340513
95-th percentile13.76580599
Maximum44.35337301
Range43.75551032
Interquartile range (IQR)4.56893302

Descriptive statistics

Standard deviation4.570841485
Coefficient of variation (CV)0.638616156
Kurtosis21.07572826
Mean7.157415988
Median Absolute Deviation (MAD)2.222194432
Skewness3.404770249
Sum4172.773521
Variance20.89259188
MonotonicityNot monotonic
2023-02-02T09:35:56.371763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.498780442 2
 
0.3%
13.89705957 2
 
0.3%
4.643754878 2
 
0.3%
7.45144612 2
 
0.3%
5.312801183 2
 
0.3%
3.655956602 2
 
0.3%
5.416319012 2
 
0.3%
7.36091622 2
 
0.3%
8.068632448 2
 
0.3%
4.049891772 2
 
0.3%
Other values (545) 563
96.6%
ValueCountFrequency (%)
0.5978626885 1
0.2%
0.7961938618 1
0.2%
0.8235946098 1
0.2%
0.9328387026 1
0.2%
1.089087081 1
0.2%
ValueCountFrequency (%)
44.35337301 1
0.2%
38.73205267 2
0.3%
38.33560606 1
0.2%
37.98205267 1
0.2%
21.7254867 1
0.2%
Distinct499
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.301397498
Minimum0
Maximum17.2127075
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:56.978866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8853838805
Q12.434121884
median3.728397839
Q35.471142609
95-th percentile10.30788391
Maximum17.2127075
Range17.2127075
Interquartile range (IQR)3.037020724

Descriptive statistics

Standard deviation2.778710661
Coefficient of variation (CV)0.6460018312
Kurtosis2.186450086
Mean4.301397498
Median Absolute Deviation (MAD)1.518839514
Skewness1.33492731
Sum2507.714741
Variance7.721232936
MonotonicityNot monotonic
2023-02-02T09:35:57.710754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.2%
0.7968975857 6
 
1.0%
1.263508971 5
 
0.9%
1.603253466 4
 
0.7%
4.668226762 4
 
0.7%
6.492640687 4
 
0.7%
2.664213562 4
 
0.7%
2.944543648 4
 
0.7%
6.401650429 4
 
0.7%
1.380166286 4
 
0.7%
Other values (489) 537
92.1%
ValueCountFrequency (%)
0 7
1.2%
0.1746204263 2
 
0.3%
0.4988264248 1
 
0.2%
0.5 2
 
0.3%
0.5773502692 1
 
0.2%
ValueCountFrequency (%)
17.2127075 1
0.2%
14.89949494 1
0.2%
14.5380863 1
0.2%
14.48436673 1
0.2%
13.89949494 1
0.2%
Distinct446
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.655579009
Minimum0
Maximum13.12702682
Zeros14
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:58.365934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4205845907
Q11.204263873
median2.153874403
Q33.360067748
95-th percentile7.089190937
Maximum13.12702682
Range13.12702682
Interquartile range (IQR)2.155803875

Descriptive statistics

Standard deviation2.078682609
Coefficient of variation (CV)0.7827605965
Kurtosis4.36054501
Mean2.655579009
Median Absolute Deviation (MAD)1.049433969
Skewness1.849456841
Sum1548.202562
Variance4.32092139
MonotonicityNot monotonic
2023-02-02T09:35:59.059988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
2.4%
1.040706679 11
 
1.9%
0.7576296365 9
 
1.5%
0.4205845907 8
 
1.4%
0.9582174996 6
 
1.0%
3.188939843 5
 
0.9%
4.371320344 4
 
0.7%
0.6424075833 4
 
0.7%
1.755706474 4
 
0.7%
2.082106781 4
 
0.7%
Other values (436) 514
88.2%
ValueCountFrequency (%)
0 14
2.4%
0.02041241452 1
 
0.2%
0.2357022604 3
 
0.5%
0.2466751075 1
 
0.2%
0.2757200628 1
 
0.2%
ValueCountFrequency (%)
13.12702682 1
0.2%
12.07842712 1
0.2%
11.37132034 1
0.2%
10.68198052 1
0.2%
10.55698052 1
0.2%
Distinct372
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.535450478
Minimum0
Maximum10.04585723
Zeros34
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:35:59.789537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5457948773
median1.110039723
Q31.880030358
95-th percentile4.245845784
Maximum10.04585723
Range10.04585723
Interquartile range (IQR)1.33423548

Descriptive statistics

Standard deviation1.598825993
Coefficient of variation (CV)1.041274868
Kurtosis7.869614236
Mean1.535450478
Median Absolute Deviation (MAD)0.6440477277
Skewness2.544862792
Sum895.1676286
Variance2.556244556
MonotonicityNot monotonic
2023-02-02T09:36:00.476180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
5.8%
0.9141292469 19
 
3.3%
0.3963253345 14
 
2.4%
0.6196366678 10
 
1.7%
1.207106781 10
 
1.7%
0.4777996296 8
 
1.4%
0.099380799 8
 
1.4%
0.3861962848 6
 
1.0%
0.8535533906 5
 
0.9%
2.071995564 5
 
0.9%
Other values (362) 464
79.6%
ValueCountFrequency (%)
0 34
5.8%
0.03726779962 1
 
0.2%
0.07385280954 1
 
0.2%
0.099380799 8
 
1.4%
0.1360827635 1
 
0.2%
ValueCountFrequency (%)
10.04585723 1
0.2%
9.631727984 1
0.2%
9.131727984 1
0.2%
8.794417382 1
0.2%
8.544417382 1
0.2%
Distinct330
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8009640109
Minimum0
Maximum7.582106781
Zeros64
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:01.120631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1968339972
median0.4185358173
Q30.9809132463
95-th percentile2.616351395
Maximum7.582106781
Range7.582106781
Interquartile range (IQR)0.7840792491

Descriptive statistics

Standard deviation1.114672909
Coefficient of variation (CV)1.391664162
Kurtosis11.41841212
Mean0.8009640109
Median Absolute Deviation (MAD)0.3049731277
Skewness3.056629098
Sum466.9620184
Variance1.242495695
MonotonicityNot monotonic
2023-02-02T09:36:01.775556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
11.0%
0.1968339972 30
 
5.1%
0.1135626896 15
 
2.6%
0.2769972962 10
 
1.7%
0.4267766953 10
 
1.7%
0.2193862696 9
 
1.5%
0.09841699859 7
 
1.2%
0.1767766953 7
 
1.2%
0.3017766953 5
 
0.9%
0.7285533906 5
 
0.9%
Other values (320) 421
72.2%
ValueCountFrequency (%)
0 64
11.0%
0.02282177323 1
 
0.2%
0.03535533906 1
 
0.2%
0.04017857143 2
 
0.3%
0.05590169944 1
 
0.2%
ValueCountFrequency (%)
7.582106781 1
0.2%
7.54854756 1
0.2%
7.351713562 1
0.2%
6.685660172 1
0.2%
5.935660172 1
0.2%
Distinct223
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4345519712
Minimum0
Maximum5.906854249
Zeros173
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:03.007357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1530931089
Q30.4988805348
95-th percentile1.825825215
Maximum5.906854249
Range5.906854249
Interquartile range (IQR)0.4988805348

Descriptive statistics

Standard deviation0.7879125939
Coefficient of variation (CV)1.813160787
Kurtosis17.29026365
Mean0.4345519712
Median Absolute Deviation (MAD)0.1530931089
Skewness3.673198108
Sum253.3437992
Variance0.6208062556
MonotonicityNot monotonic
2023-02-02T09:36:03.777072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
29.7%
0.2133883476 15
 
2.6%
0.12319982 11
 
1.9%
0.08030094792 11
 
1.9%
0.1551295189 11
 
1.9%
0.125 8
 
1.4%
0.07216878365 8
 
1.4%
1.380742693 6
 
1.0%
0.75 6
 
1.0%
0.8679646336 6
 
1.0%
Other values (213) 328
56.3%
ValueCountFrequency (%)
0 173
29.7%
0.01717029193 5
 
0.9%
0.02539338937 3
 
0.5%
0.02635231383 4
 
0.7%
0.03556472461 1
 
0.2%
ValueCountFrequency (%)
5.906854249 1
0.2%
5.863198949 2
0.3%
5.431980515 1
0.2%
4.407393123 1
0.2%
4.009645558 1
0.2%
Distinct552
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6451203712
Minimum0.4782329081
Maximum1.229012646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:04.671866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4782329081
5-th percentile0.5255140685
Q10.5810315967
median0.6294782383
Q30.6904124459
95-th percentile0.8172011775
Maximum1.229012646
Range0.7507797375
Interquartile range (IQR)0.1093808492

Descriptive statistics

Standard deviation0.09418569918
Coefficient of variation (CV)0.1459970935
Kurtosis6.946436947
Mean0.6451203712
Median Absolute Deviation (MAD)0.0543707436
Skewness1.775976514
Sum376.1051764
Variance0.008870945931
MonotonicityNot monotonic
2023-02-02T09:36:05.679416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6286227149 3
 
0.5%
0.6317620776 3
 
0.5%
0.6426543193 2
 
0.3%
0.6829310908 2
 
0.3%
0.7004473214 2
 
0.3%
0.6436058374 2
 
0.3%
0.6507108771 2
 
0.3%
0.6856172786 2
 
0.3%
0.6029824495 2
 
0.3%
0.5909858292 2
 
0.3%
Other values (542) 561
96.2%
ValueCountFrequency (%)
0.4782329081 1
0.2%
0.4817687021 1
0.2%
0.4881182533 1
0.2%
0.4913189875 1
0.2%
0.4952956422 1
0.2%
ValueCountFrequency (%)
1.229012646 1
0.2%
1.165034795 1
0.2%
1.159425197 2
0.3%
1.106211266 1
0.2%
0.8926292582 1
0.2%
Distinct563
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4206713088
Minimum0.245307905
Maximum1.400462401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:06.412200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.245307905
5-th percentile0.2932508396
Q10.3559954242
median0.4043231464
Q30.456757667
95-th percentile0.5917379056
Maximum1.400462401
Range1.155154496
Interquartile range (IQR)0.1007622428

Descriptive statistics

Standard deviation0.1191947339
Coefficient of variation (CV)0.2833441013
Kurtosis24.38002251
Mean0.4206713088
Median Absolute Deviation (MAD)0.05118320105
Skewness3.793988863
Sum245.2513731
Variance0.0142073846
MonotonicityNot monotonic
2023-02-02T09:36:07.305509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3489580081 2
 
0.3%
0.5173314777 2
 
0.3%
0.5097056275 2
 
0.3%
0.4416897738 2
 
0.3%
0.4117824952 2
 
0.3%
0.388113508 2
 
0.3%
0.4091735773 2
 
0.3%
0.4697916567 2
 
0.3%
0.4991679805 2
 
0.3%
0.3990307758 2
 
0.3%
Other values (553) 563
96.6%
ValueCountFrequency (%)
0.245307905 1
0.2%
0.2507058671 1
0.2%
0.2530887489 1
0.2%
0.259091782 1
0.2%
0.2663970822 1
0.2%
ValueCountFrequency (%)
1.400462401 1
0.2%
1.356988926 1
0.2%
1.266595891 1
0.2%
1.261929724 1
0.2%
1.168427117 1
0.2%
Distinct569
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.265147826
Minimum0.1172569358
Maximum2.532136844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:08.329090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1172569358
5-th percentile0.1488586923
Q10.1937610536
median0.2325729335
Q30.2750792208
95-th percentile0.4197616022
Maximum2.532136844
Range2.414879909
Interquartile range (IQR)0.08131816713

Descriptive statistics

Standard deviation0.2092729903
Coefficient of variation (CV)0.789269116
Kurtosis75.8471021
Mean0.265147826
Median Absolute Deviation (MAD)0.03977766014
Skewness8.068153925
Sum154.5811826
Variance0.04379518446
MonotonicityNot monotonic
2023-02-02T09:36:09.596421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2141114917 2
 
0.3%
0.2019301582 2
 
0.3%
0.1927952734 2
 
0.3%
0.3366121042 2
 
0.3%
0.3200825215 2
 
0.3%
0.2754564337 2
 
0.3%
0.2291657857 2
 
0.3%
0.1897428994 2
 
0.3%
0.2483815373 2
 
0.3%
0.2804330565 2
 
0.3%
Other values (559) 563
96.6%
ValueCountFrequency (%)
0.1172569358 1
0.2%
0.1176563728 1
0.2%
0.1184499713 1
0.2%
0.1211705288 1
0.2%
0.1254970216 1
0.2%
ValueCountFrequency (%)
2.532136844 1
0.2%
2.334388053 1
0.2%
2.278356039 1
0.2%
2.25503565 1
0.2%
2.038529088 1
0.2%
Distinct249
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.70383076
Minimum8.333333333
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:10.558117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8.333333333
5-th percentile14.36666667
Q122
median30
Q337
95-th percentile50.15
Maximum106
Range97.66666667
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.14348207
Coefficient of variation (CV)0.3955038107
Kurtosis5.527111798
Mean30.70383076
Median Absolute Deviation (MAD)7.666666667
Skewness1.476154878
Sum17900.33333
Variance147.4641567
MonotonicityNot monotonic
2023-02-02T09:36:11.614730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.66666667 12
 
2.1%
34 9
 
1.5%
32.33333333 9
 
1.5%
25 8
 
1.4%
21.66666667 8
 
1.4%
19.66666667 8
 
1.4%
26 8
 
1.4%
23.66666667 7
 
1.2%
23 7
 
1.2%
36.33333333 7
 
1.2%
Other values (239) 500
85.8%
ValueCountFrequency (%)
8.333333333 1
0.2%
9.5 1
0.2%
9.666666667 1
0.2%
9.666666667 2
0.3%
10.33333333 1
0.2%
ValueCountFrequency (%)
106 1
0.2%
94.33333333 1
0.2%
94 1
0.2%
86.33333333 1
0.2%
85 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.28010273
Minimum7.585546582
Maximum102.5671199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:12.509086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.585546582
5-th percentile13.66562747
Q120.70700245
median28.51660977
Q335.58308192
95-th percentile47.87360513
Maximum102.5671199
Range94.98157329
Interquartile range (IQR)14.87607948

Descriptive statistics

Standard deviation11.83953563
Coefficient of variation (CV)0.4043543064
Kurtosis6.018359044
Mean29.28010273
Median Absolute Deviation (MAD)7.373227741
Skewness1.556667491
Sum17070.29989
Variance140.174604
MonotonicityNot monotonic
2023-02-02T09:36:13.398095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.33572718 4
 
0.7%
34.16421773 3
 
0.5%
35.33206387 3
 
0.5%
31.83218876 3
 
0.5%
34.16788104 3
 
0.5%
34.91444669 3
 
0.5%
24.50428774 2
 
0.3%
24.91950792 2
 
0.3%
26.76171842 2
 
0.3%
33.74660055 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
7.585546582 1
0.2%
8.753392723 2
0.3%
8.999833486 1
0.2%
9.201315461 1
0.2%
9.753392723 1
0.2%
ValueCountFrequency (%)
102.5671199 1
0.2%
92.80307025 1
0.2%
92.55296618 1
0.2%
85.79599341 1
0.2%
84.62814727 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.79362154
Minimum6.632987177
Maximum92.59623753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:14.276793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.632987177
5-th percentile11.83690018
Q118.77564686
median24.33115143
Q329.60774079
95-th percentile44.29884659
Maximum92.59623753
Range85.96325036
Interquartile range (IQR)10.83209393

Descriptive statistics

Standard deviation10.62517581
Coefficient of variation (CV)0.4119303603
Kurtosis5.108730184
Mean25.79362154
Median Absolute Deviation (MAD)5.505211073
Skewness1.591740762
Sum15037.68136
Variance112.8943611
MonotonicityNot monotonic
2023-02-02T09:36:15.190059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.5886668 4
 
0.7%
22.96318339 3
 
0.5%
26.046839 3
 
0.5%
24.6779825 3
 
0.5%
26.2198103 3
 
0.5%
25.45023306 3
 
0.5%
26.01806289 2
 
0.3%
41.82236902 2
 
0.3%
27.32043538 2
 
0.3%
23.90840525 2
 
0.3%
Other values (516) 556
95.4%
ValueCountFrequency (%)
6.632987177 1
0.2%
7.625786892 1
0.2%
7.82763566 1
0.2%
8.444492164 1
0.2%
8.503180338 1
0.2%
ValueCountFrequency (%)
92.59623753 1
0.2%
78.12318136 1
0.2%
78.09430389 1
0.2%
68.87221453 1
0.2%
67.33038673 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.25260569
Minimum11.80954115
Maximum156.2501821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:16.119853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.80954115
5-th percentile21.32822287
Q133.92243263
median43.50291333
Q352.68062637
95-th percentile81.72713037
Maximum156.2501821
Range144.4406409
Interquartile range (IQR)18.75819374

Descriptive statistics

Standard deviation19.14038953
Coefficient of variation (CV)0.4138229456
Kurtosis3.328480834
Mean46.25260569
Median Absolute Deviation (MAD)9.363437728
Skewness1.385256442
Sum26965.26912
Variance366.3545113
MonotonicityNot monotonic
2023-02-02T09:36:17.002191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.30881282 4
 
0.7%
43.97596504 3
 
0.5%
47.42097597 3
 
0.5%
43.86453023 3
 
0.5%
46.86380189 3
 
0.5%
49.55171158 2
 
0.3%
36.27348871 2
 
0.3%
51.56955572 2
 
0.3%
46.75236708 2
 
0.3%
42.04916242 2
 
0.3%
Other values (519) 557
95.5%
ValueCountFrequency (%)
11.80954115 1
0.2%
14.10597232 1
0.2%
14.19919883 1
0.2%
15.3197378 1
0.2%
15.69919883 1
0.2%
ValueCountFrequency (%)
156.2501821 1
0.2%
126.7032047 1
0.2%
125.5961398 1
0.2%
116.7290605 1
0.2%
116.4817917 1
0.2%
Distinct522
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.84570006
Minimum11.44313725
Maximum153.3921569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:17.907888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.44313725
5-th percentile20.88705882
Q132.8372549
median42.32156863
Q351.84509804
95-th percentile78.5972549
Maximum153.3921569
Range141.9490196
Interquartile range (IQR)19.00784314

Descriptive statistics

Standard deviation18.42330413
Coefficient of variation (CV)0.4108153982
Kurtosis3.622138022
Mean44.84570006
Median Absolute Deviation (MAD)9.525490196
Skewness1.393258534
Sum26145.04314
Variance339.418135
MonotonicityNot monotonic
2023-02-02T09:36:18.985821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.14901961 4
 
0.7%
40.97254902 3
 
0.5%
43.32156863 3
 
0.5%
43.30196078 3
 
0.5%
46.04705882 3
 
0.5%
46.42352941 3
 
0.5%
24.56470588 2
 
0.3%
31.34117647 2
 
0.3%
42.32156863 2
 
0.3%
44.96862745 2
 
0.3%
Other values (512) 556
95.4%
ValueCountFrequency (%)
11.44313725 1
0.2%
13.58431373 1
0.2%
13.6627451 1
0.2%
14.65490196 1
0.2%
15.33333333 1
0.2%
ValueCountFrequency (%)
153.3921569 1
0.2%
125.7411765 1
0.2%
124.6862745 1
0.2%
111.8352941 1
0.2%
111.5019608 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.68464494
Minimum11.56
Maximum156.472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:19.579801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.56
5-th percentile21.3996
Q133.578
median43.296
Q352.644
95-th percentile79.984
Maximum156.472
Range144.912
Interquartile range (IQR)19.066

Descriptive statistics

Standard deviation18.74644745
Coefficient of variation (CV)0.4103446021
Kurtosis3.650081533
Mean45.68464494
Median Absolute Deviation (MAD)9.648
Skewness1.388131696
Sum26634.148
Variance351.4292921
MonotonicityNot monotonic
2023-02-02T09:36:20.323210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.208 4
 
0.7%
47.088 3
 
0.5%
44.276 3
 
0.5%
47.448 3
 
0.5%
44.328 3
 
0.5%
41.928 3
 
0.5%
40.752 2
 
0.3%
34.32 2
 
0.3%
50.656 2
 
0.3%
47.036 2
 
0.3%
Other values (517) 556
95.4%
ValueCountFrequency (%)
11.56 1
0.2%
13.712 1
0.2%
13.748 1
0.2%
14.948 1
0.2%
15.696 1
0.2%
ValueCountFrequency (%)
156.472 1
0.2%
128.46 1
0.2%
127.352 1
0.2%
113.688 1
0.2%
113.284 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.49704119
Minimum6.920937126
Maximum93.83014251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:21.155891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.920937126
5-th percentile12.76537
Q119.97767844
median25.30245629
Q331.34803683
95-th percentile50.04885904
Maximum93.83014251
Range86.90920539
Interquartile range (IQR)11.37035838

Descriptive statistics

Standard deviation11.72780838
Coefficient of variation (CV)0.4265116489
Kurtosis3.424453516
Mean27.49704119
Median Absolute Deviation (MAD)5.63662994
Skewness1.472507275
Sum16030.77502
Variance137.5414894
MonotonicityNot monotonic
2023-02-02T09:36:21.754880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.49667425 4
 
0.7%
26.37980479 3
 
0.5%
25.36041617 3
 
0.5%
26.69811976 3
 
0.5%
23.10101078 3
 
0.5%
24.5812503 3
 
0.5%
27.28412036 2
 
0.3%
28.95752515 2
 
0.3%
30.75607964 2
 
0.3%
17.1069988 2
 
0.3%
Other values (517) 556
95.4%
ValueCountFrequency (%)
6.920937126 1
0.2%
7.714949102 1
0.2%
7.952301796 1
0.2%
8.212656886 1
0.2%
9.001403593 1
0.2%
ValueCountFrequency (%)
93.83014251 1
0.2%
76.3054485 1
0.2%
76.24748862 1
0.2%
71.3783976 1
0.2%
70.62865509 1
0.2%
Distinct531
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.4552002
Minimum12.89935837
Maximum175.8668648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:22.291021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12.89935837
5-th percentile24.3047877
Q138.03212592
median48.07447919
Q359.46454815
95-th percentile95.75712058
Maximum175.8668648
Range162.9675065
Interquartile range (IQR)21.43242223

Descriptive statistics

Standard deviation22.18972733
Coefficient of variation (CV)0.4230224505
Kurtosis3.029627416
Mean52.4552002
Median Absolute Deviation (MAD)10.75793363
Skewness1.392764583
Sum30581.38171
Variance492.3839989
MonotonicityNot monotonic
2023-02-02T09:36:22.980437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.11096205 4
 
0.7%
47.94818655 3
 
0.5%
51.48976883 3
 
0.5%
48.07447919 3
 
0.5%
32.05560536 2
 
0.3%
44.69786826 2
 
0.3%
43.5280148 2
 
0.3%
33.38935499 2
 
0.3%
48.11315791 2
 
0.3%
38.91110672 2
 
0.3%
Other values (521) 558
95.7%
ValueCountFrequency (%)
12.89935837 1
0.2%
16.08414527 1
0.2%
16.18661412 1
0.2%
16.666631 1
0.2%
17.57831381 1
0.2%
ValueCountFrequency (%)
175.8668648 1
0.2%
140.3817722 1
0.2%
138.8833891 1
0.2%
134.6626239 1
0.2%
134.3031832 1
0.2%
Distinct487
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7083990915
Minimum0.4642857143
Maximum1.182795699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:23.859813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4642857143
5-th percentile0.507798574
Q10.5922733078
median0.6875
Q30.8125
95-th percentile0.9696022727
Maximum1.182795699
Range0.7185099846
Interquartile range (IQR)0.2202266922

Descriptive statistics

Standard deviation0.146829957
Coefficient of variation (CV)0.2072701091
Kurtosis-0.4612698257
Mean0.7083990915
Median Absolute Deviation (MAD)0.1087962963
Skewness0.511523122
Sum412.9966704
Variance0.02155903627
MonotonicityNot monotonic
2023-02-02T09:36:24.498115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6666666667 5
 
0.9%
0.6111111111 4
 
0.7%
0.780141844 4
 
0.7%
0.7101449275 3
 
0.5%
0.8449612403 3
 
0.5%
0.6161616162 3
 
0.5%
0.6111111111 3
 
0.5%
0.803030303 3
 
0.5%
0.8596491228 3
 
0.5%
0.6666666667 3
 
0.5%
Other values (477) 549
94.2%
ValueCountFrequency (%)
0.4642857143 1
0.2%
0.4736842105 1
0.2%
0.4777777778 1
0.2%
0.4801587302 1
0.2%
0.4801587302 1
0.2%
ValueCountFrequency (%)
1.182795699 1
0.2%
1.14379085 1
0.2%
1.12745098 1
0.2%
1.083333333 1
0.2%
1.075268817 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6782447279
Minimum0.4100715217
Maximum1.243015243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:25.055742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4100715217
5-th percentile0.4585082723
Q10.548777345
median0.6557859596
Q30.7938160826
95-th percentile0.9684558663
Maximum1.243015243
Range0.8329437213
Interquartile range (IQR)0.2450387375

Descriptive statistics

Standard deviation0.1615390424
Coefficient of variation (CV)0.2381722051
Kurtosis-0.3686684271
Mean0.6782447279
Median Absolute Deviation (MAD)0.1207567913
Skewness0.5347377369
Sum395.4166764
Variance0.02609486223
MonotonicityNot monotonic
2023-02-02T09:36:25.660650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7518239826 4
 
0.7%
0.776542751 3
 
0.5%
0.8541054433 3
 
0.5%
0.8216759041 3
 
0.5%
0.8376891779 3
 
0.5%
0.8728611673 3
 
0.5%
0.5593334315 2
 
0.3%
0.5385273819 2
 
0.3%
0.7273262378 2
 
0.3%
0.5665108822 2
 
0.3%
Other values (516) 556
95.4%
ValueCountFrequency (%)
0.4100715217 1
0.2%
0.4202491006 1
0.2%
0.424576083 1
0.2%
0.4269082706 2
0.3%
0.4283018344 1
0.2%
ValueCountFrequency (%)
1.243015243 1
0.2%
1.159604775 1
0.2%
1.134413631 1
0.2%
1.104572022 2
0.3%
1.080919866 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5829269664
Minimum0.5083857928
Maximum0.7219559869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:26.293254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5083857928
5-th percentile0.5169745282
Q10.5474848361
median0.5796169038
Q30.6145644983
95-th percentile0.6631978461
Maximum0.7219559869
Range0.2135701941
Interquartile range (IQR)0.06707966215

Descriptive statistics

Standard deviation0.04552457781
Coefficient of variation (CV)0.0780965377
Kurtosis-0.4235843638
Mean0.5829269664
Median Absolute Deviation (MAD)0.03344918002
Skewness0.4412215477
Sum339.8464214
Variance0.002072487185
MonotonicityNot monotonic
2023-02-02T09:36:26.969538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5869929107 4
 
0.7%
0.6042942998 3
 
0.5%
0.6097630302 3
 
0.5%
0.6362558264 3
 
0.5%
0.5919736136 3
 
0.5%
0.5431476496 2
 
0.3%
0.619708006 2
 
0.3%
0.5336468333 2
 
0.3%
0.5470974656 2
 
0.3%
0.6633202162 2
 
0.3%
Other values (517) 557
95.5%
ValueCountFrequency (%)
0.5083857928 1
0.2%
0.5093119275 2
0.3%
0.5099734524 1
0.2%
0.510469596 2
0.3%
0.5114167792 1
0.2%
ValueCountFrequency (%)
0.7219559869 1
0.2%
0.7188039303 1
0.2%
0.7167624628 1
0.2%
0.7079321698 1
0.2%
0.7056455622 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.041567112
Minimum0.9637421331
Maximum1.201976493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:27.616193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.9637421331
5-th percentile0.9696153496
Q10.9993020151
median1.03507266
Q31.079700569
95-th percentile1.129393089
Maximum1.201976493
Range0.2382343604
Interquartile range (IQR)0.08039855378

Descriptive statistics

Standard deviation0.050548431
Coefficient of variation (CV)0.04853113202
Kurtosis-0.582685853
Mean1.041567112
Median Absolute Deviation (MAD)0.04060655581
Skewness0.4259242806
Sum607.2336261
Variance0.002555143877
MonotonicityNot monotonic
2023-02-02T09:36:28.360060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.070400273 4
 
0.7%
1.096613256 3
 
0.5%
1.095929007 3
 
0.5%
1.077749454 3
 
0.5%
1.099399126 3
 
0.5%
1.089855858 3
 
0.5%
1.036076718 2
 
0.3%
0.9987132799 2
 
0.3%
1.107478199 2
 
0.3%
1.029359068 2
 
0.3%
Other values (516) 556
95.4%
ValueCountFrequency (%)
0.9637421331 1
0.2%
0.9642031152 1
0.2%
0.9645545035 1
0.2%
0.9646932334 1
0.2%
0.9646968213 1
0.2%
ValueCountFrequency (%)
1.201976493 1
0.2%
1.191692048 1
0.2%
1.180583523 1
0.2%
1.178300669 1
0.2%
1.17718702 1
0.2%
Distinct522
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.011560997
Minimum0.9087481146
Maximum1.227604767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:29.023055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.9087481146
5-th percentile0.915874373
Q10.9561482564
median1.002894491
Q31.062175307
95-th percentile1.128198918
Maximum1.227604767
Range0.3188566528
Interquartile range (IQR)0.1060270504

Descriptive statistics

Standard deviation0.06672126467
Coefficient of variation (CV)0.06595871616
Kurtosis-0.5060066608
Mean1.011560997
Median Absolute Deviation (MAD)0.05218572277
Skewness0.4646618563
Sum589.7400611
Variance0.004451727159
MonotonicityNot monotonic
2023-02-02T09:36:29.748174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.045723821 4
 
0.7%
1.083039216 3
 
0.5%
1.078224974 3
 
0.5%
1.055080214 3
 
0.5%
1.070861833 3
 
0.5%
1.08254902 3
 
0.5%
1.07254902 2
 
0.3%
1.070405837 2
 
0.3%
0.9559290383 2
 
0.3%
1.092374728 2
 
0.3%
Other values (512) 556
95.4%
ValueCountFrequency (%)
0.9087481146 1
0.2%
0.9093567251 1
0.2%
0.9096236196 1
0.2%
0.9096638655 2
0.3%
0.9097070927 1
0.2%
ValueCountFrequency (%)
1.227604767 1
0.2%
1.213903743 1
0.2%
1.200623886 1
0.2%
1.19538639 1
0.2%
1.191212781 1
0.2%
Distinct521
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.030804464
Minimum0.918974359
Maximum1.265568627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:30.856229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.918974359
5-th percentile0.926075
Q10.9702857143
median1.023172414
Q31.087391941
95-th percentile1.156993665
Maximum1.265568627
Range0.3465942685
Interquartile range (IQR)0.1171062271

Descriptive statistics

Standard deviation0.07306028093
Coefficient of variation (CV)0.07087695435
Kurtosis-0.5290829383
Mean1.030804464
Median Absolute Deviation (MAD)0.05750843727
Skewness0.4444608383
Sum600.9590024
Variance0.005337804649
MonotonicityNot monotonic
2023-02-02T09:36:31.583659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0176 4
 
0.7%
1.068255319 4
 
0.7%
1.103368421 3
 
0.5%
1.102 3
 
0.5%
1.119 3
 
0.5%
1.078363636 3
 
0.5%
1.1069 3
 
0.5%
1.095069767 3
 
0.5%
1.1082 3
 
0.5%
0.9517241379 2
 
0.3%
Other values (511) 552
94.7%
ValueCountFrequency (%)
0.918974359 1
0.2%
0.9190833333 1
0.2%
0.9191372549 1
0.2%
0.9191851852 1
0.2%
0.9192280702 1
0.2%
ValueCountFrequency (%)
1.265568627 1
0.2%
1.251909091 1
0.2%
1.238181818 1
0.2%
1.229294118 1
0.2%
1.226814815 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6177504601
Minimum0.5301534531
Maximum0.8751178393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:32.162483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5301534531
5-th percentile0.5757997796
Q10.593664939
median0.6096229541
Q30.631407505
95-th percentile0.6822545595
Maximum0.8751178393
Range0.3449643862
Interquartile range (IQR)0.03774256604

Descriptive statistics

Standard deviation0.03925672031
Coefficient of variation (CV)0.0635478609
Kurtosis9.034605098
Mean0.6177504601
Median Absolute Deviation (MAD)0.01874099119
Skewness2.247617433
Sum360.1485182
Variance0.001541090089
MonotonicityNot monotonic
2023-02-02T09:36:32.670053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6063122181 4
 
0.7%
0.6079213363 3
 
0.5%
0.6134838323 3
 
0.5%
0.6145312575 3
 
0.5%
0.6067754491 3
 
0.5%
0.6340104042 3
 
0.5%
0.605454024 2
 
0.3%
0.5835482441 2
 
0.3%
0.652886161 2
 
0.3%
0.6066315279 2
 
0.3%
Other values (519) 556
95.4%
ValueCountFrequency (%)
0.5301534531 1
0.2%
0.5417142382 1
0.2%
0.5475104591 1
0.2%
0.551067793 1
0.2%
0.5529777588 1
0.2%
ValueCountFrequency (%)
0.8751178393 1
0.2%
0.8459005988 1
0.2%
0.8199979042 1
0.2%
0.8123745718 1
0.2%
0.8059466904 2
0.3%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.177188522
Minimum1.092082997
Maximum1.287451091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:33.211185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.092082997
5-th percentile1.131841516
Q11.149750153
median1.172224716
Q31.201463725
95-th percentile1.230978509
Maximum1.287451091
Range0.195368094
Interquartile range (IQR)0.05171357158

Descriptive statistics

Standard deviation0.03280287419
Coefficient of variation (CV)0.02786543835
Kurtosis-0.2276329441
Mean1.177188522
Median Absolute Deviation (MAD)0.02471467432
Skewness0.4755805598
Sum686.3009085
Variance0.001076028555
MonotonicityNot monotonic
2023-02-02T09:36:33.756269image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.193850256 4
 
0.7%
1.20186198 3
 
0.5%
1.197436485 3
 
0.5%
1.206976135 3
 
0.5%
1.197628918 3
 
0.5%
1.198704664 3
 
0.5%
1.145510991 2
 
0.3%
1.165802606 2
 
0.3%
1.124772774 2
 
0.3%
1.203591808 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
1.092082997 1
0.2%
1.104455239 1
0.2%
1.117634059 1
0.2%
1.11797881 1
0.2%
1.118231308 1
0.2%
ValueCountFrequency (%)
1.287451091 1
0.2%
1.277706734 1
0.2%
1.27662065 1
0.2%
1.265288715 1
0.2%
1.264528483 1
0.2%

number of sLi
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:34.170698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:34.498996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssBe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:34.815508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:35.139148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssBe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:35.439698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:35.711678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssBH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:36.059658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:36.552742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:37.254874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:37.580685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssB
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1835334477
Minimum0
Maximum1
Zeros476
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:38.020548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3874356639
Coefficient of variation (CV)2.110981234
Kurtosis0.6895617439
Mean0.1835334477
Median Absolute Deviation (MAD)0
Skewness1.639270556
Sum107
Variance0.1501063936
MonotonicityNot monotonic
2023-02-02T09:36:38.462990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 476
81.6%
1 107
 
18.4%
ValueCountFrequency (%)
0 476
81.6%
1 107
 
18.4%
ValueCountFrequency (%)
1 107
 
18.4%
0 476
81.6%

number of sCH3
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.696397942
Minimum0
Maximum7
Zeros19
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:38.953285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.315557475
Coefficient of variation (CV)0.4878944071
Kurtosis0.05498380985
Mean2.696397942
Median Absolute Deviation (MAD)1
Skewness0.3958422107
Sum1572
Variance1.73069147
MonotonicityNot monotonic
2023-02-02T09:36:39.501331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 214
36.7%
4 142
24.4%
3 103
17.7%
1 70
 
12.0%
0 19
 
3.3%
6 18
 
3.1%
5 15
 
2.6%
7 2
 
0.3%
ValueCountFrequency (%)
0 19
 
3.3%
1 70
 
12.0%
2 214
36.7%
3 103
17.7%
4 142
24.4%
ValueCountFrequency (%)
7 2
 
0.3%
6 18
 
3.1%
5 15
 
2.6%
4 142
24.4%
3 103
17.7%

number of dCH2
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01372212693
Minimum0
Maximum1
Zeros575
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:40.018809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1164348924
Coefficient of variation (CV)8.485192783
Kurtosis68.48512931
Mean0.01372212693
Median Absolute Deviation (MAD)0
Skewness8.381539197
Sum8
Variance0.01355708417
MonotonicityNot monotonic
2023-02-02T09:36:40.492679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 575
98.6%
1 8
 
1.4%
ValueCountFrequency (%)
0 575
98.6%
1 8
 
1.4%
ValueCountFrequency (%)
1 8
 
1.4%
0 575
98.6%

number of ssCH2
Real number (ℝ)

Distinct29
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.222984563
Minimum0
Maximum33
Zeros44
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:41.059055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38
95-th percentile20
Maximum33
Range33
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.720436026
Coefficient of variation (CV)0.9192431652
Kurtosis2.900770118
Mean6.222984563
Median Absolute Deviation (MAD)3
Skewness1.634797689
Sum3628
Variance32.72338833
MonotonicityNot monotonic
2023-02-02T09:36:41.671604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 65
11.1%
1 63
10.8%
3 58
9.9%
5 53
9.1%
6 51
8.7%
2 49
8.4%
7 47
8.1%
0 44
 
7.5%
8 20
 
3.4%
9 19
 
3.3%
Other values (19) 114
19.6%
ValueCountFrequency (%)
0 44
7.5%
1 63
10.8%
2 49
8.4%
3 58
9.9%
4 65
11.1%
ValueCountFrequency (%)
33 1
 
0.2%
32 1
 
0.2%
28 3
0.5%
25 1
 
0.2%
24 2
0.3%

number of tCH
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005145797599
Minimum0
Maximum2
Zeros581
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:42.448415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.092544803
Coefficient of variation (CV)17.98454005
Kurtosis394.9606576
Mean0.005145797599
Median Absolute Deviation (MAD)0
Skewness19.40988033
Sum3
Variance0.008564540562
MonotonicityNot monotonic
2023-02-02T09:36:43.029721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 581
99.7%
2 1
 
0.2%
1 1
 
0.2%
ValueCountFrequency (%)
0 581
99.7%
1 1
 
0.2%
2 1
 
0.2%
ValueCountFrequency (%)
2 1
 
0.2%
1 1
 
0.2%
0 581
99.7%

number of dsCH
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09948542024
Minimum0
Maximum3
Zeros551
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:43.686726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4730355392
Coefficient of variation (CV)4.754822748
Kurtosis29.32190976
Mean0.09948542024
Median Absolute Deviation (MAD)0
Skewness5.384381856
Sum58
Variance0.2237626214
MonotonicityNot monotonic
2023-02-02T09:36:44.219615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 551
94.5%
1 19
 
3.3%
3 13
 
2.2%
ValueCountFrequency (%)
0 551
94.5%
1 19
 
3.3%
3 13
 
2.2%
ValueCountFrequency (%)
3 13
 
2.2%
1 19
 
3.3%
0 551
94.5%

number of aaCH
Real number (ℝ)

Distinct14
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.655231561
Minimum0
Maximum20
Zeros351
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:44.946018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.815550078
Coefficient of variation (CV)1.701000721
Kurtosis14.05911088
Mean1.655231561
Median Absolute Deviation (MAD)0
Skewness3.149722063
Sum965
Variance7.92732224
MonotonicityNot monotonic
2023-02-02T09:36:45.692958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 351
60.2%
3 123
 
21.1%
4 30
 
5.1%
2 28
 
4.8%
5 27
 
4.6%
15 5
 
0.9%
8 5
 
0.9%
9 3
 
0.5%
20 3
 
0.5%
7 3
 
0.5%
Other values (4) 5
 
0.9%
ValueCountFrequency (%)
0 351
60.2%
2 28
 
4.8%
3 123
 
21.1%
4 30
 
5.1%
5 27
 
4.6%
ValueCountFrequency (%)
20 3
0.5%
17 1
 
0.2%
15 5
0.9%
13 1
 
0.2%
12 1
 
0.2%

number of sssCH
Real number (ℝ)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1955403087
Minimum0
Maximum4
Zeros533
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:46.383552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7526681119
Coefficient of variation (CV)3.849171133
Kurtosis18.23206187
Mean0.1955403087
Median Absolute Deviation (MAD)0
Skewness4.319391186
Sum114
Variance0.5665092866
MonotonicityNot monotonic
2023-02-02T09:36:46.905665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 533
91.4%
1 23
 
3.9%
4 18
 
3.1%
2 8
 
1.4%
3 1
 
0.2%
ValueCountFrequency (%)
0 533
91.4%
1 23
 
3.9%
2 8
 
1.4%
3 1
 
0.2%
4 18
 
3.1%
ValueCountFrequency (%)
4 18
 
3.1%
3 1
 
0.2%
2 8
 
1.4%
1 23
 
3.9%
0 533
91.4%

number of ddC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:47.697911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:48.204826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of tsC
Real number (ℝ)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1440823328
Minimum0
Maximum4
Zeros535
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:49.015059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5497532781
Coefficient of variation (CV)3.815549537
Kurtosis22.70440298
Mean0.1440823328
Median Absolute Deviation (MAD)0
Skewness4.54740149
Sum84
Variance0.3022286667
MonotonicityNot monotonic
2023-02-02T09:36:49.797947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 535
91.8%
1 24
 
4.1%
2 16
 
2.7%
3 4
 
0.7%
4 4
 
0.7%
ValueCountFrequency (%)
0 535
91.8%
1 24
 
4.1%
2 16
 
2.7%
3 4
 
0.7%
4 4
 
0.7%
ValueCountFrequency (%)
4 4
 
0.7%
3 4
 
0.7%
2 16
 
2.7%
1 24
 
4.1%
0 535
91.8%

number of dssC
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1303602058
Minimum0
Maximum2
Zeros517
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:50.950798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3846108051
Coefficient of variation (CV)2.950369729
Kurtosis9.231309478
Mean0.1303602058
Median Absolute Deviation (MAD)0
Skewness3.061930941
Sum76
Variance0.1479254714
MonotonicityNot monotonic
2023-02-02T09:36:51.765746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 517
88.7%
1 56
 
9.6%
2 10
 
1.7%
ValueCountFrequency (%)
0 517
88.7%
1 56
 
9.6%
2 10
 
1.7%
ValueCountFrequency (%)
2 10
 
1.7%
1 56
 
9.6%
0 517
88.7%

number of aasC
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3276157804
Minimum0
Maximum12
Zeros498
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:52.327631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.275209966
Coefficient of variation (CV)3.892394817
Kurtosis59.04374687
Mean0.3276157804
Median Absolute Deviation (MAD)0
Skewness7.065726211
Sum191
Variance1.626160457
MonotonicityNot monotonic
2023-02-02T09:36:53.258267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 498
85.4%
1 51
 
8.7%
2 13
 
2.2%
3 10
 
1.7%
4 6
 
1.0%
12 5
 
0.9%
ValueCountFrequency (%)
0 498
85.4%
1 51
 
8.7%
2 13
 
2.2%
3 10
 
1.7%
4 6
 
1.0%
ValueCountFrequency (%)
12 5
 
0.9%
4 6
 
1.0%
3 10
 
1.7%
2 13
 
2.2%
1 51
8.7%

number of aaaC
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03430531732
Minimum0
Maximum2
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:53.970485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2599031463
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.03430531732
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum20
Variance0.06754964545
MonotonicityNot monotonic
2023-02-02T09:36:54.564607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
2 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
2 10
 
1.7%
ValueCountFrequency (%)
2 10
 
1.7%
0 573
98.3%

number of ssssC
Real number (ℝ)

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.102915952
Minimum0
Maximum8
Zeros334
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:55.099640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.69587383
Coefficient of variation (CV)1.537627438
Kurtosis4.743707909
Mean1.102915952
Median Absolute Deviation (MAD)0
Skewness2.044137321
Sum643
Variance2.875988046
MonotonicityNot monotonic
2023-02-02T09:36:55.599216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 334
57.3%
2 119
 
20.4%
1 55
 
9.4%
4 39
 
6.7%
3 16
 
2.7%
8 13
 
2.2%
6 7
 
1.2%
ValueCountFrequency (%)
0 334
57.3%
1 55
 
9.4%
2 119
 
20.4%
3 16
 
2.7%
4 39
 
6.7%
ValueCountFrequency (%)
8 13
 
2.2%
6 7
 
1.2%
4 39
 
6.7%
3 16
 
2.7%
2 119
20.4%

number of sNH3
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03259005146
Minimum0
Maximum1
Zeros564
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:56.093383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1777135665
Coefficient of variation (CV)5.453000488
Kurtosis25.95019608
Mean0.03259005146
Median Absolute Deviation (MAD)0
Skewness5.278369481
Sum19
Variance0.03158211172
MonotonicityNot monotonic
2023-02-02T09:36:56.768712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 564
96.7%
1 19
 
3.3%
ValueCountFrequency (%)
0 564
96.7%
1 19
 
3.3%
ValueCountFrequency (%)
1 19
 
3.3%
0 564
96.7%

number of sNH2
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003430531732
Minimum0
Maximum1
Zeros581
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:57.350672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05852040113
Coefficient of variation (CV)17.05869693
Kurtosis288.9862129
Mean0.003430531732
Median Absolute Deviation (MAD)0
Skewness17.02923493
Sum2
Variance0.003424637348
MonotonicityNot monotonic
2023-02-02T09:36:57.880563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 581
99.7%
1 2
 
0.3%
ValueCountFrequency (%)
0 581
99.7%
1 2
 
0.3%
ValueCountFrequency (%)
1 2
 
0.3%
0 581
99.7%

number of ssNH2
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03259005146
Minimum0
Maximum1
Zeros564
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:58.369678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1777135665
Coefficient of variation (CV)5.453000488
Kurtosis25.95019608
Mean0.03259005146
Median Absolute Deviation (MAD)0
Skewness5.278369481
Sum19
Variance0.03158211172
MonotonicityNot monotonic
2023-02-02T09:36:58.762575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 564
96.7%
1 19
 
3.3%
ValueCountFrequency (%)
0 564
96.7%
1 19
 
3.3%
ValueCountFrequency (%)
1 19
 
3.3%
0 564
96.7%

number of dNH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:59.129992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:36:59.470995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssNH
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02229845626
Minimum0
Maximum1
Zeros570
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:36:59.837738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1477792079
Coefficient of variation (CV)6.627329091
Kurtosis40.22337637
Mean0.02229845626
Median Absolute Deviation (MAD)0
Skewness6.487326089
Sum13
Variance0.02183869428
MonotonicityNot monotonic
2023-02-02T09:37:00.279144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 570
97.8%
1 13
 
2.2%
ValueCountFrequency (%)
0 570
97.8%
1 13
 
2.2%
ValueCountFrequency (%)
1 13
 
2.2%
0 570
97.8%

number of aaNH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:00.684705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:01.053968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of tN
Real number (ℝ)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1252144082
Minimum0
Maximum4
Zeros539
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:01.913191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.493704957
Coefficient of variation (CV)3.942876574
Kurtosis23.95332554
Mean0.1252144082
Median Absolute Deviation (MAD)0
Skewness4.650196197
Sum73
Variance0.2437445845
MonotonicityNot monotonic
2023-02-02T09:37:02.541180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 539
92.5%
1 23
 
3.9%
2 15
 
2.6%
3 4
 
0.7%
4 2
 
0.3%
ValueCountFrequency (%)
0 539
92.5%
1 23
 
3.9%
2 15
 
2.6%
3 4
 
0.7%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
3 4
 
0.7%
2 15
 
2.6%
1 23
 
3.9%
0 539
92.5%

number of sssNH
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04116638079
Minimum0
Maximum1
Zeros559
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:03.038667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1988454945
Coefficient of variation (CV)4.830288471
Kurtosis19.51181283
Mean0.04116638079
Median Absolute Deviation (MAD)0
Skewness4.63086259
Sum24
Variance0.03953953069
MonotonicityNot monotonic
2023-02-02T09:37:03.401006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 559
95.9%
1 24
 
4.1%
ValueCountFrequency (%)
0 559
95.9%
1 24
 
4.1%
ValueCountFrequency (%)
1 24
 
4.1%
0 559
95.9%

number of dsN
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02229845626
Minimum0
Maximum1
Zeros570
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:03.768381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1477792079
Coefficient of variation (CV)6.627329091
Kurtosis40.22337637
Mean0.02229845626
Median Absolute Deviation (MAD)0
Skewness6.487326089
Sum13
Variance0.02183869428
MonotonicityDecreasing
2023-02-02T09:37:04.204129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 570
97.8%
1 13
 
2.2%
ValueCountFrequency (%)
0 570
97.8%
1 13
 
2.2%
ValueCountFrequency (%)
1 13
 
2.2%
0 570
97.8%

number of aaN
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02572898799
Minimum0
Maximum1
Zeros568
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:04.978635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1584615967
Coefficient of variation (CV)6.158874058
Kurtosis34.19592117
Mean0.02572898799
Median Absolute Deviation (MAD)0
Skewness6.006548266
Sum15
Variance0.02511007763
MonotonicityNot monotonic
2023-02-02T09:37:05.620649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 568
97.4%
1 15
 
2.6%
ValueCountFrequency (%)
0 568
97.4%
1 15
 
2.6%
ValueCountFrequency (%)
1 15
 
2.6%
0 568
97.4%

number of sssN
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum2
Zeros577
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:06.183214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1750231866
Coefficient of variation (CV)10.20385178
Kurtosis114.8274276
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness10.63759525
Sum10
Variance0.03063311583
MonotonicityNot monotonic
2023-02-02T09:37:06.776732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 577
99.0%
2 4
 
0.7%
1 2
 
0.3%
ValueCountFrequency (%)
0 577
99.0%
1 2
 
0.3%
2 4
 
0.7%
ValueCountFrequency (%)
2 4
 
0.7%
1 2
 
0.3%
0 577
99.0%

number of ddsN
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03945111492
Minimum0
Maximum1
Zeros560
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:07.298353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1948328403
Coefficient of variation (CV)4.938588952
Kurtosis20.57520802
Mean0.03945111492
Median Absolute Deviation (MAD)0
Skewness4.743905089
Sum23
Variance0.03795983566
MonotonicityNot monotonic
2023-02-02T09:37:07.766140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 560
96.1%
1 23
 
3.9%
ValueCountFrequency (%)
0 560
96.1%
1 23
 
3.9%
ValueCountFrequency (%)
1 23
 
3.9%
0 560
96.1%

number of aasN
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6483704974
Minimum0
Maximum2
Zeros372
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:08.251289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8956902846
Coefficient of variation (CV)1.381448243
Kurtosis-1.333007267
Mean0.6483704974
Median Absolute Deviation (MAD)0
Skewness0.7507392572
Sum378
Variance0.8022610859
MonotonicityNot monotonic
2023-02-02T09:37:08.890837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 372
63.8%
2 167
28.6%
1 44
 
7.5%
ValueCountFrequency (%)
0 372
63.8%
1 44
 
7.5%
2 167
28.6%
ValueCountFrequency (%)
2 167
28.6%
1 44
 
7.5%
0 372
63.8%

number of ssssN
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4373927959
Minimum0
Maximum1
Zeros328
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:09.616217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4964908423
Coefficient of variation (CV)1.135114357
Kurtosis-1.942633196
Mean0.4373927959
Median Absolute Deviation (MAD)0
Skewness0.2530669817
Sum255
Variance0.2465031564
MonotonicityNot monotonic
2023-02-02T09:37:10.243270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 328
56.3%
1 255
43.7%
ValueCountFrequency (%)
0 328
56.3%
1 255
43.7%
ValueCountFrequency (%)
1 255
43.7%
0 328
56.3%

number of sOH
Real number (ℝ)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1114922813
Minimum0
Maximum4
Zeros543
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:10.769464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5106309716
Coefficient of variation (CV)4.579967023
Kurtosis40.75652917
Mean0.1114922813
Median Absolute Deviation (MAD)0
Skewness6.078867257
Sum65
Variance0.2607439892
MonotonicityNot monotonic
2023-02-02T09:37:11.221520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 543
93.1%
1 30
 
5.1%
4 7
 
1.2%
2 2
 
0.3%
3 1
 
0.2%
ValueCountFrequency (%)
0 543
93.1%
1 30
 
5.1%
2 2
 
0.3%
3 1
 
0.2%
4 7
 
1.2%
ValueCountFrequency (%)
4 7
 
1.2%
3 1
 
0.2%
2 2
 
0.3%
1 30
 
5.1%
0 543
93.1%

number of dO
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.451114923
Minimum0
Maximum5
Zeros272
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:11.748837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.61838491
Coefficient of variation (CV)1.115269979
Kurtosis-1.114683266
Mean1.451114923
Median Absolute Deviation (MAD)1
Skewness0.6298463637
Sum846
Variance2.619169717
MonotonicityNot monotonic
2023-02-02T09:37:12.288033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 272
46.7%
4 121
20.8%
2 118
20.2%
1 52
 
8.9%
3 13
 
2.2%
5 7
 
1.2%
ValueCountFrequency (%)
0 272
46.7%
1 52
 
8.9%
2 118
20.2%
3 13
 
2.2%
4 121
20.8%
ValueCountFrequency (%)
5 7
 
1.2%
4 121
20.8%
3 13
 
2.2%
2 118
20.2%
1 52
8.9%

number of ssO
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2384219554
Minimum0
Maximum4
Zeros469
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:12.965728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5370457374
Coefficient of variation (CV)2.252501186
Kurtosis9.84371427
Mean0.2384219554
Median Absolute Deviation (MAD)0
Skewness2.727487786
Sum139
Variance0.2884181241
MonotonicityNot monotonic
2023-02-02T09:37:13.645748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 469
80.4%
1 93
 
16.0%
2 19
 
3.3%
4 2
 
0.3%
ValueCountFrequency (%)
0 469
80.4%
1 93
 
16.0%
2 19
 
3.3%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
2 19
 
3.3%
1 93
 
16.0%
0 469
80.4%

number of aaO
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001715265866
Minimum0
Maximum1
Zeros582
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:14.254284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04141576833
Coefficient of variation (CV)24.14539294
Kurtosis583
Mean0.001715265866
Median Absolute Deviation (MAD)0
Skewness24.14539294
Sum1
Variance0.001715265866
MonotonicityNot monotonic
2023-02-02T09:37:14.765908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 582
99.8%
1 1
 
0.2%
ValueCountFrequency (%)
0 582
99.8%
1 1
 
0.2%
ValueCountFrequency (%)
1 1
 
0.2%
0 582
99.8%

number of sF
Real number (ℝ)

Distinct16
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.041166381
Minimum0
Maximum24
Zeros224
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:15.327934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile12
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.377977535
Coefficient of variation (CV)1.083345035
Kurtosis3.740777839
Mean4.041166381
Median Absolute Deviation (MAD)4
Skewness1.54292353
Sum2356
Variance19.1666873
MonotonicityNot monotonic
2023-02-02T09:37:15.870212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 224
38.4%
6 162
27.8%
4 52
 
8.9%
3 47
 
8.1%
9 22
 
3.8%
10 19
 
3.3%
12 12
 
2.1%
2 11
 
1.9%
8 11
 
1.9%
18 7
 
1.2%
Other values (6) 16
 
2.7%
ValueCountFrequency (%)
0 224
38.4%
2 11
 
1.9%
3 47
 
8.1%
4 52
 
8.9%
5 3
 
0.5%
ValueCountFrequency (%)
24 5
0.9%
19 2
 
0.3%
18 7
1.2%
17 3
0.5%
15 2
 
0.3%

number of sSiH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:16.398520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:16.905201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssSiH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:17.547701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:18.045439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssSiH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:18.582802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:19.060742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssSi
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:19.595949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:20.020828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sPH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:20.564545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:21.605381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssPH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:22.313008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:22.878989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:23.500923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:24.025141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of dsssP
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003430531732
Minimum0
Maximum1
Zeros581
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:24.665831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05852040113
Coefficient of variation (CV)17.05869693
Kurtosis288.9862129
Mean0.003430531732
Median Absolute Deviation (MAD)0
Skewness17.02923493
Sum2
Variance0.003424637348
MonotonicityNot monotonic
2023-02-02T09:37:25.298239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 581
99.7%
1 2
 
0.3%
ValueCountFrequency (%)
0 581
99.7%
1 2
 
0.3%
ValueCountFrequency (%)
1 2
 
0.3%
0 581
99.7%

number of sssssP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:25.890706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:26.464464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sSH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:26.958651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:27.542472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of dS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:28.130101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:28.731864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:29.516258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:30.021457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of aaS
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005145797599
Minimum0
Maximum1
Zeros580
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:30.560069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07161085424
Coefficient of variation (CV)13.91637601
Kurtosis190.9827825
Mean0.005145797599
Median Absolute Deviation (MAD)0
Skewness13.86822332
Sum3
Variance0.005128114445
MonotonicityNot monotonic
2023-02-02T09:37:31.144400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 580
99.5%
1 3
 
0.5%
ValueCountFrequency (%)
0 580
99.5%
1 3
 
0.5%
ValueCountFrequency (%)
1 3
 
0.5%
0 580
99.5%

number of dssS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:31.715527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:32.189096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ddssS
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6363636364
Minimum0
Maximum2
Zeros340
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:32.832040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8195517706
Coefficient of variation (CV)1.287867068
Kurtosis-1.090077891
Mean0.6363636364
Median Absolute Deviation (MAD)0
Skewness0.7594776506
Sum371
Variance0.6716651047
MonotonicityNot monotonic
2023-02-02T09:37:33.553761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 340
58.3%
2 128
 
22.0%
1 115
 
19.7%
ValueCountFrequency (%)
0 340
58.3%
1 115
 
19.7%
2 128
 
22.0%
ValueCountFrequency (%)
2 128
 
22.0%
1 115
 
19.7%
0 340
58.3%

number of sCl
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum4
Zeros579
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:34.340857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2410902834
Coefficient of variation (CV)14.05556352
Kurtosis256.5503747
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness15.78007513
Sum10
Variance0.05812452477
MonotonicityNot monotonic
2023-02-02T09:37:34.981143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 579
99.3%
4 2
 
0.3%
1 2
 
0.3%
ValueCountFrequency (%)
0 579
99.3%
1 2
 
0.3%
4 2
 
0.3%
ValueCountFrequency (%)
4 2
 
0.3%
1 2
 
0.3%
0 579
99.3%

number of sGeH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:35.670464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:36.108887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssGeH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:36.649920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:37.180722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssGeH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:37.783023image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:38.416693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssGe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:38.927067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:39.532332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sAsH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:40.128854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:40.631615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssAsH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:41.081524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:41.566043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:42.015456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:42.390665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssdAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:42.753931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:43.184396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssssAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:43.528459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:43.863912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sSeH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:44.241973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:44.567008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of dSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:44.905834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:45.220890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:45.697580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:46.062349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of aaSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:46.409938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:46.742188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of dssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:47.123551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:47.471739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ddssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:47.845162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:48.159420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sBr
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03430531732
Minimum0
Maximum4
Zeros578
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:48.541007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3691587298
Coefficient of variation (CV)10.76097697
Kurtosis112.5821503
Mean0.03430531732
Median Absolute Deviation (MAD)0
Skewness10.68625019
Sum20
Variance0.1362781678
MonotonicityNot monotonic
2023-02-02T09:37:49.017411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 578
99.1%
4 5
 
0.9%
ValueCountFrequency (%)
0 578
99.1%
4 5
 
0.9%
ValueCountFrequency (%)
4 5
 
0.9%
0 578
99.1%

number of sSnH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:49.519252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:49.943497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssSnH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:50.322971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:50.829895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssSnH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:51.189235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:51.730487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssSn
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:52.076704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:52.590554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sI
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:53.543894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:53.936214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sPbH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:54.307607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:54.692150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssPbH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:55.075043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:55.553071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of sssPbH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:56.173000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:56.594125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

number of ssssPb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:56.990154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:57.400577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sLi
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:57.757108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:58.134763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssBe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:58.601497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:59.043478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssBe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:37:59.524243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:37:59.953612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssBH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:00.446261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:01.034080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:01.639921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:02.300090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssB
Real number (ℝ)

Distinct11
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.186090981
Minimum-7.939791667
Maximum0
Zeros476
Zeros (%)81.6%
Negative107
Negative (%)18.4%
Memory size4.7 KiB
2023-02-02T09:38:02.934127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-7.939791667
5-th percentile-7.208333333
Q10
median0
Q30
95-th percentile0
Maximum0
Range7.939791667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.538045921
Coefficient of variation (CV)-2.139840841
Kurtosis1.15272545
Mean-1.186090981
Median Absolute Deviation (MAD)0
Skewness-1.733781344
Sum-691.4910417
Variance6.441677097
MonotonicityNot monotonic
2023-02-02T09:38:03.546754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 476
81.6%
-6 52
 
8.9%
-7.939791667 12
 
2.1%
-6.645833333 11
 
1.9%
-7.626458333 11
 
1.9%
-7.208333333 11
 
1.9%
-5.795555556 5
 
0.9%
-2.722222222 2
 
0.3%
-4.493055556 1
 
0.2%
-4.501805556 1
 
0.2%
ValueCountFrequency (%)
-7.939791667 12
 
2.1%
-7.626458333 11
 
1.9%
-7.208333333 11
 
1.9%
-6.645833333 11
 
1.9%
-6 52
8.9%
ValueCountFrequency (%)
0 476
81.6%
-2.722222222 2
 
0.3%
-4.493055556 1
 
0.2%
-4.501805556 1
 
0.2%
-4.509583333 1
 
0.2%

sum of sCH3
Real number (ℝ)

Distinct306
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.874163602
Minimum0
Maximum16.58171627
Zeros19
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:04.173778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.976490751
Q14.146849529
median4.685408163
Q38.707912415
95-th percentile9.816070421
Maximum16.58171627
Range16.58171627
Interquartile range (IQR)4.561062886

Descriptive statistics

Standard deviation3.05106649
Coefficient of variation (CV)0.5194044117
Kurtosis0.2450827455
Mean5.874163602
Median Absolute Deviation (MAD)1.856258503
Skewness0.5552827595
Sum3424.63738
Variance9.309006725
MonotonicityNot monotonic
2023-02-02T09:38:04.831016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
3.3%
4.145 17
 
2.9%
4.685408163 14
 
2.4%
4.255898526 11
 
1.9%
2.020833333 9
 
1.5%
9.097222222 8
 
1.4%
4.214444444 8
 
1.4%
4 7
 
1.2%
9.5030396 7
 
1.2%
6.450667045 7
 
1.2%
Other values (296) 476
81.6%
ValueCountFrequency (%)
0 19
3.3%
0.8078703704 1
 
0.2%
0.9722222222 1
 
0.2%
1.233304679 1
 
0.2%
1.260092593 1
 
0.2%
ValueCountFrequency (%)
16.58171627 1
 
0.2%
16.07561082 1
 
0.2%
14.25497401 3
0.5%
14.14927835 1
 
0.2%
14.13691677 1
 
0.2%

sum of dCH2
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05076864911
Minimum0
Maximum3.81448979
Zeros575
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:05.372554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.81448979
Range3.81448979
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4308766758
Coefficient of variation (CV)8.487062063
Kurtosis68.61494506
Mean0.05076864911
Median Absolute Deviation (MAD)0
Skewness8.387268276
Sum29.59812243
Variance0.1856547098
MonotonicityNot monotonic
2023-02-02T09:38:05.862952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 575
98.6%
3.635130385 2
 
0.3%
3.630416667 1
 
0.2%
3.631400148 1
 
0.2%
3.673819444 1
 
0.2%
3.793316675 1
 
0.2%
3.81448979 1
 
0.2%
3.784418934 1
 
0.2%
ValueCountFrequency (%)
0 575
98.6%
3.630416667 1
 
0.2%
3.631400148 1
 
0.2%
3.635130385 2
 
0.3%
3.673819444 1
 
0.2%
ValueCountFrequency (%)
3.81448979 1
0.2%
3.793316675 1
0.2%
3.784418934 1
0.2%
3.673819444 1
0.2%
3.635130385 2
0.3%

sum of ssCH2
Real number (ℝ)

Distinct272
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.042929594
Minimum-3.506582932
Maximum48.16128559
Zeros44
Zeros (%)7.5%
Negative7
Negative (%)1.2%
Memory size4.7 KiB
2023-02-02T09:38:06.522256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-3.506582932
5-th percentile0
Q12.255902778
median5.652777778
Q310.12571531
95-th percentile28.6981447
Maximum48.16128559
Range51.66786852
Interquartile range (IQR)7.869812531

Descriptive statistics

Standard deviation8.474216092
Coefficient of variation (CV)1.05362306
Kurtosis3.304708543
Mean8.042929594
Median Absolute Deviation (MAD)4.24798304
Skewness1.754591556
Sum4689.027953
Variance71.81233837
MonotonicityNot monotonic
2023-02-02T09:38:07.181723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
7.5%
1.056388889 20
 
3.4%
9.959591837 16
 
2.7%
3.688407029 12
 
2.1%
2.328888889 10
 
1.7%
5.652777778 8
 
1.4%
8.49125 8
 
1.4%
30.14047892 7
 
1.2%
5.638888889 7
 
1.2%
6.599722222 6
 
1.0%
Other values (262) 445
76.3%
ValueCountFrequency (%)
-3.506582932 1
0.2%
-2.11275463 2
0.3%
-0.2777777778 2
0.3%
-0.2572685185 1
0.2%
-0.05092592593 1
0.2%
ValueCountFrequency (%)
48.16128559 1
0.2%
48.07150553 1
0.2%
42.08897022 2
0.3%
40.67768308 1
0.2%
36.16820291 1
0.2%

sum of tCH
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02623622877
Minimum0
Maximum10.24669359
Zeros581
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:07.774783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10.24669359
Range10.24669359
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4727744191
Coefficient of variation (CV)18.01990763
Kurtosis398.2586919
Mean0.02623622877
Median Absolute Deviation (MAD)0
Skewness19.48612837
Sum15.29572137
Variance0.2235156513
MonotonicityNot monotonic
2023-02-02T09:38:08.219358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 581
99.7%
10.24669359 1
 
0.2%
5.049027778 1
 
0.2%
ValueCountFrequency (%)
0 581
99.7%
5.049027778 1
 
0.2%
10.24669359 1
 
0.2%
ValueCountFrequency (%)
10.24669359 1
 
0.2%
5.049027778 1
 
0.2%
0 581
99.7%

sum of dsCH
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1411222347
Minimum-0.9166666667
Maximum5.734953704
Zeros551
Zeros (%)94.5%
Negative11
Negative (%)1.9%
Memory size4.7 KiB
2023-02-02T09:38:08.724371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9166666667
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.734953704
Range6.65162037
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.863292049
Coefficient of variation (CV)6.117335447
Kurtosis34.04452698
Mean0.1411222347
Median Absolute Deviation (MAD)0
Skewness5.856152565
Sum82.27426285
Variance0.7452731618
MonotonicityNot monotonic
2023-02-02T09:38:09.161972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 551
94.5%
5.592592593 10
 
1.7%
-0.5 9
 
1.5%
5.734953704 3
 
0.5%
1.875 2
 
0.3%
-0.9166666667 2
 
0.3%
1.930555556 1
 
0.2%
1.804787415 1
 
0.2%
2.007716049 1
 
0.2%
1.952025697 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
-0.9166666667 2
 
0.3%
-0.5 9
 
1.5%
0 551
94.5%
1.804787415 1
 
0.2%
1.875 2
 
0.3%
ValueCountFrequency (%)
5.734953704 3
 
0.5%
5.592592593 10
1.7%
2.065208333 1
 
0.2%
2.007716049 1
 
0.2%
1.966516097 1
 
0.2%

sum of aaCH
Real number (ℝ)

Distinct117
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.086270674
Minimum-8.810306122
Maximum43.82746914
Zeros351
Zeros (%)60.2%
Negative4
Negative (%)0.7%
Memory size4.7 KiB
2023-02-02T09:38:09.784514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-8.810306122
5-th percentile0
Q10
median0
Q36.142361111
95-th percentile10.60139243
Maximum43.82746914
Range52.63777526
Interquartile range (IQR)6.142361111

Descriptive statistics

Standard deviation5.263532384
Coefficient of variation (CV)1.705466869
Kurtosis19.36907014
Mean3.086270674
Median Absolute Deviation (MAD)0
Skewness3.382455953
Sum1799.295803
Variance27.70477316
MonotonicityNot monotonic
2023-02-02T09:38:10.455964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 351
60.2%
6.142361111 24
 
4.1%
6.27875 13
 
2.2%
6.224861111 11
 
1.9%
4.246018519 7
 
1.2%
6 7
 
1.2%
5.782638889 6
 
1.0%
6.452697766 6
 
1.0%
4.16087963 5
 
0.9%
6.384096041 5
 
0.9%
Other values (107) 148
25.4%
ValueCountFrequency (%)
-8.810306122 1
 
0.2%
-2.493574263 1
 
0.2%
-2.4653536 1
 
0.2%
-2.38196996 1
 
0.2%
0 351
60.2%
ValueCountFrequency (%)
43.82746914 2
0.3%
41.45180201 1
0.2%
32.1537963 2
0.3%
24.4464555 1
0.2%
21.37377646 1
0.2%

sum of sssCH
Real number (ℝ)

Distinct33
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02728234081
Minimum-9.765
Maximum2.851093159
Zeros533
Zeros (%)91.4%
Negative18
Negative (%)3.1%
Memory size4.7 KiB
2023-02-02T09:38:11.080579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-9.765
5-th percentile0
Q10
median0
Q30
95-th percentile0.6911213152
Maximum2.851093159
Range12.61609316
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.165211444
Coefficient of variation (CV)-42.7093647
Kurtosis57.06488541
Mean-0.02728234081
Median Absolute Deviation (MAD)0
Skewness-6.697146778
Sum-15.90560469
Variance1.357717708
MonotonicityNot monotonic
2023-02-02T09:38:11.747510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 533
91.4%
-9.765 7
 
1.2%
1.858576415 4
 
0.7%
-0.2453703704 4
 
0.7%
2.847370166 3
 
0.5%
-0.1360185185 2
 
0.3%
0.9582640201 2
 
0.3%
0.9588945578 2
 
0.3%
0.7361111111 2
 
0.3%
0.8479382926 1
 
0.2%
Other values (23) 23
 
3.9%
ValueCountFrequency (%)
-9.765 7
1.2%
-0.6388888889 1
 
0.2%
-0.3125925926 1
 
0.2%
-0.2453703704 4
0.7%
-0.1360185185 2
 
0.3%
ValueCountFrequency (%)
2.851093159 1
 
0.2%
2.847370166 3
0.5%
2.843440837 1
 
0.2%
2.841488695 1
 
0.2%
2.839633184 1
 
0.2%

sum of ddC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:12.297838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:13.154617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of tsC
Real number (ℝ)

Distinct21
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.252689741
Minimum0
Maximum12.29154993
Zeros535
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:13.664815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.124609552
Maximum12.29154993
Range12.29154993
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.056143685
Coefficient of variation (CV)4.179606505
Kurtosis61.75687915
Mean0.252689741
Median Absolute Deviation (MAD)0
Skewness6.741995945
Sum147.318119
Variance1.115439483
MonotonicityNot monotonic
2023-02-02T09:38:14.342335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 535
91.8%
2.5625 12
 
2.1%
1.333333333 7
 
1.2%
2.124609552 5
 
0.9%
2.046944444 3
 
0.5%
4.1875 3
 
0.5%
4.312777778 2
 
0.3%
5.375 2
 
0.3%
12.29154993 2
 
0.3%
2.579861111 1
 
0.2%
Other values (11) 11
 
1.9%
ValueCountFrequency (%)
0 535
91.8%
1.333333333 7
 
1.2%
2.046944444 3
 
0.5%
2.074166667 1
 
0.2%
2.079861111 1
 
0.2%
ValueCountFrequency (%)
12.29154993 2
0.3%
5.375 2
0.3%
5.074791667 1
0.2%
4.609444444 1
0.2%
4.368333333 1
0.2%

sum of dssC
Real number (ℝ)

Distinct29
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2157548199
Minimum-5.335972222
Maximum1.358194444
Zeros517
Zeros (%)88.7%
Negative62
Negative (%)10.6%
Memory size4.7 KiB
2023-02-02T09:38:14.918429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-5.335972222
5-th percentile-3.006944444
Q10
median0
Q30
95-th percentile0
Maximum1.358194444
Range6.694166667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8493440793
Coefficient of variation (CV)-3.936616942
Kurtosis15.03205087
Mean-0.2157548199
Median Absolute Deviation (MAD)0
Skewness-3.883612218
Sum-125.78506
Variance0.721385365
MonotonicityNot monotonic
2023-02-02T09:38:15.448409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 517
88.7%
-3.006944444 11
 
1.9%
-3.199236111 9
 
1.5%
-4.218337113 7
 
1.2%
-1.083333333 5
 
0.9%
-1.129074074 4
 
0.7%
-0.2638888889 4
 
0.7%
-4.638888889 2
 
0.3%
-5.335972222 2
 
0.3%
1.358194444 2
 
0.3%
Other values (19) 20
 
3.4%
ValueCountFrequency (%)
-5.335972222 2
 
0.3%
-4.638888889 2
 
0.3%
-4.218337113 7
1.2%
-3.199236111 9
1.5%
-3.045162037 1
 
0.2%
ValueCountFrequency (%)
1.358194444 2
 
0.3%
1.257824074 1
 
0.2%
1.168289872 1
 
0.2%
0 517
88.7%
-0.02239890401 1
 
0.2%

sum of aasC
Real number (ℝ)

Distinct53
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01340477321
Minimum-30.20454837
Maximum5.55037037
Zeros498
Zeros (%)85.4%
Negative6
Negative (%)1.0%
Memory size4.7 KiB
2023-02-02T09:38:16.076841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-30.20454837
5-th percentile0
Q10
median0
Q30
95-th percentile1.356091899
Maximum5.55037037
Range35.75491875
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.914715757
Coefficient of variation (CV)-217.4386475
Kurtosis97.0603056
Mean-0.01340477321
Median Absolute Deviation (MAD)0
Skewness-9.4805626
Sum-7.814982781
Variance8.495567942
MonotonicityNot monotonic
2023-02-02T09:38:16.938580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 498
85.4%
0.750462963 8
 
1.4%
1.331898148 7
 
1.2%
1.303240741 5
 
0.9%
-30.20454837 5
 
0.9%
1.321157407 3
 
0.5%
1.335648148 3
 
0.5%
0.2199074074 2
 
0.3%
4.083055556 2
 
0.3%
1.456527778 2
 
0.3%
Other values (43) 48
 
8.2%
ValueCountFrequency (%)
-30.20454837 5
 
0.9%
-0.2475925926 1
 
0.2%
0 498
85.4%
0.2199074074 2
 
0.3%
0.750462963 8
 
1.4%
ValueCountFrequency (%)
5.55037037 2
0.3%
5.346039289 1
0.2%
5.326015886 1
0.2%
5.262852891 1
0.2%
4.694490741 1
0.2%

sum of aaaC
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04349935479
Minimum0
Maximum2.79587146
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:17.533441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.79587146
Range2.79587146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3303545057
Coefficient of variation (CV)7.594469096
Kurtosis54.93886361
Mean0.04349935479
Median Absolute Deviation (MAD)0
Skewness7.513401031
Sum25.36012384
Variance0.1091340994
MonotonicityNot monotonic
2023-02-02T09:38:17.988279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 573
98.3%
2.423197279 2
 
0.3%
2.321559429 2
 
0.3%
2.522320484 2
 
0.3%
2.475836168 1
 
0.2%
2.763475057 1
 
0.2%
2.790786775 1
 
0.2%
2.79587146 1
 
0.2%
ValueCountFrequency (%)
0 573
98.3%
2.321559429 2
 
0.3%
2.423197279 2
 
0.3%
2.475836168 1
 
0.2%
2.522320484 2
 
0.3%
ValueCountFrequency (%)
2.79587146 1
0.2%
2.790786775 1
0.2%
2.763475057 1
0.2%
2.522320484 2
0.3%
2.475836168 1
0.2%

sum of ssssC
Real number (ℝ)

Distinct30
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.410041712
Minimum-67.98964753
Maximum0
Zeros334
Zeros (%)57.3%
Negative249
Negative (%)42.7%
Memory size4.7 KiB
2023-02-02T09:38:18.570627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-67.98964753
5-th percentile-29.85659722
Q1-12.40611111
median0
Q30
95-th percentile0
Maximum0
Range67.98964753
Interquartile range (IQR)12.40611111

Descriptive statistics

Standard deviation12.38027462
Coefficient of variation (CV)-1.670742905
Kurtosis6.992616498
Mean-7.410041712
Median Absolute Deviation (MAD)0
Skewness-2.45504596
Sum-4320.054318
Variance153.2711997
MonotonicityNot monotonic
2023-02-02T09:38:19.127767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 334
57.3%
-12.40611111 94
 
16.1%
-5.645833333 29
 
5.0%
-29.0937963 14
 
2.4%
-29.85659722 12
 
2.1%
-5.194444444 11
 
1.9%
-6 11
 
1.9%
-21.14159722 11
 
1.9%
-13.11284722 11
 
1.9%
-11.66048611 9
 
1.5%
Other values (20) 47
 
8.1%
ValueCountFrequency (%)
-67.98964753 3
0.5%
-64.94544289 3
0.5%
-56.49935494 1
 
0.2%
-56.46353731 1
 
0.2%
-55.37449846 4
0.7%
ValueCountFrequency (%)
0 334
57.3%
-4.643055556 3
 
0.5%
-4.969987245 1
 
0.2%
-5.194444444 11
 
1.9%
-5.645833333 29
 
5.0%

sum of sNH3
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1153928289
Minimum0
Maximum3.729528534
Zeros564
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:19.629235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.729528534
Range3.729528534
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6296396693
Coefficient of variation (CV)5.456488718
Kurtosis26.10512763
Mean0.1153928289
Median Absolute Deviation (MAD)0
Skewness5.28916279
Sum67.27401927
Variance0.3964461131
MonotonicityNot monotonic
2023-02-02T09:38:20.084312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 564
96.7%
3.486111111 4
 
0.7%
3.434675926 4
 
0.7%
3.604166667 3
 
0.5%
3.354166667 1
 
0.2%
3.675416667 1
 
0.2%
3.723194444 1
 
0.2%
3.685185185 1
 
0.2%
3.302731481 1
 
0.2%
3.63375 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 564
96.7%
3.302731481 1
 
0.2%
3.354166667 1
 
0.2%
3.434675926 4
 
0.7%
3.486111111 4
 
0.7%
ValueCountFrequency (%)
3.729528534 1
0.2%
3.723194444 1
0.2%
3.685185185 1
0.2%
3.675416667 1
0.2%
3.674398148 1
0.2%

sum of sNH2
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01568356521
Minimum0
Maximum4.571759259
Zeros581
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:20.592689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.571759259
Range4.571759259
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2675411857
Coefficient of variation (CV)17.05869693
Kurtosis288.9862129
Mean0.01568356521
Median Absolute Deviation (MAD)0
Skewness17.02923493
Sum9.143518519
Variance0.07157828605
MonotonicityNot monotonic
2023-02-02T09:38:21.003792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 581
99.7%
4.571759259 2
 
0.3%
ValueCountFrequency (%)
0 581
99.7%
4.571759259 2
 
0.3%
ValueCountFrequency (%)
4.571759259 2
 
0.3%
0 581
99.7%

sum of ssNH2
Real number (ℝ)

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07345721365
Minimum0
Maximum2.423611111
Zeros564
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:21.463416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.423611111
Range2.423611111
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4020880416
Coefficient of variation (CV)5.473772033
Kurtosis26.7682305
Mean0.07345721365
Median Absolute Deviation (MAD)0
Skewness5.337555647
Sum42.82555556
Variance0.1616747932
MonotonicityNot monotonic
2023-02-02T09:38:21.903548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 564
96.7%
2.361111111 9
 
1.5%
2.423611111 3
 
0.5%
2.25 2
 
0.3%
2.199074074 1
 
0.2%
1.802083333 1
 
0.2%
1.942453704 1
 
0.2%
1.861111111 1
 
0.2%
2 1
 
0.2%
ValueCountFrequency (%)
0 564
96.7%
1.802083333 1
 
0.2%
1.861111111 1
 
0.2%
1.942453704 1
 
0.2%
2 1
 
0.2%
ValueCountFrequency (%)
2.423611111 3
 
0.5%
2.361111111 9
1.5%
2.25 2
 
0.3%
2.199074074 1
 
0.2%
2 1
 
0.2%

sum of dNH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:22.357321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:22.763221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssNH
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005162235563
Minimum-0.1805555556
Maximum2.040833333
Zeros570
Zeros (%)97.8%
Negative9
Negative (%)1.5%
Memory size4.7 KiB
2023-02-02T09:38:23.240211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1805555556
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.040833333
Range2.221388889
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1071769927
Coefficient of variation (CV)20.76174002
Kurtosis244.5901629
Mean0.005162235563
Median Absolute Deviation (MAD)0
Skewness14.39978183
Sum3.009583333
Variance0.01148690776
MonotonicityNot monotonic
2023-02-02T09:38:23.647900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 570
97.8%
-0.1805555556 9
 
1.5%
0.8645833333 3
 
0.5%
2.040833333 1
 
0.2%
ValueCountFrequency (%)
-0.1805555556 9
 
1.5%
0 570
97.8%
0.8645833333 3
 
0.5%
2.040833333 1
 
0.2%
ValueCountFrequency (%)
2.040833333 1
 
0.2%
0.8645833333 3
 
0.5%
0 570
97.8%
-0.1805555556 9
 
1.5%

sum of aaNH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:24.052259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:24.453284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of tN
Real number (ℝ)

Distinct18
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9801349729
Minimum0
Maximum32.34722222
Zeros539
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:24.991368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.285009133
Maximum32.34722222
Range32.34722222
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.869187813
Coefficient of variation (CV)3.947607135
Kurtosis25.17303557
Mean0.9801349729
Median Absolute Deviation (MAD)0
Skewness4.720346303
Sum571.4186892
Variance14.97061433
MonotonicityNot monotonic
2023-02-02T09:38:25.481745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 539
92.5%
14.85416667 12
 
2.1%
7.134259259 7
 
1.2%
8.285009133 5
 
0.9%
23.38194444 3
 
0.5%
8.248854875 3
 
0.5%
17.08694444 2
 
0.3%
32.34722222 2
 
0.3%
8.339746788 1
 
0.2%
8.13625 1
 
0.2%
Other values (8) 8
 
1.4%
ValueCountFrequency (%)
0 539
92.5%
7.134259259 7
 
1.2%
8.13625 1
 
0.2%
8.248854875 3
 
0.5%
8.264237528 1
 
0.2%
ValueCountFrequency (%)
32.34722222 2
0.3%
23.38194444 3
0.5%
23.10302154 1
 
0.2%
17.27061791 1
 
0.2%
17.08694444 2
0.3%

sum of sssNH
Real number (ℝ)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05951591386
Minimum0
Maximum1.838472222
Zeros559
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:25.958122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.838472222
Range1.838472222
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2912957202
Coefficient of variation (CV)4.894417329
Kurtosis22.14269502
Mean0.05951591386
Median Absolute Deviation (MAD)0
Skewness4.83404105
Sum34.69777778
Variance0.08485319658
MonotonicityNot monotonic
2023-02-02T09:38:26.449742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 559
95.9%
1.231481481 10
 
1.7%
1.680555556 4
 
0.7%
1.319444444 3
 
0.5%
1.703703704 2
 
0.3%
1.838472222 2
 
0.3%
1.416666667 2
 
0.3%
1.784722222 1
 
0.2%
ValueCountFrequency (%)
0 559
95.9%
1.231481481 10
 
1.7%
1.319444444 3
 
0.5%
1.416666667 2
 
0.3%
1.680555556 4
 
0.7%
ValueCountFrequency (%)
1.838472222 2
0.3%
1.784722222 1
 
0.2%
1.703703704 2
0.3%
1.680555556 4
0.7%
1.416666667 2
0.3%

sum of dsN
Real number (ℝ)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08558596976
Minimum0
Maximum3.893009259
Zeros570
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:27.039739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.893009259
Range3.893009259
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.567224131
Coefficient of variation (CV)6.627536412
Kurtosis40.23467965
Mean0.08558596976
Median Absolute Deviation (MAD)0
Skewness6.48796752
Sum49.89662037
Variance0.3217432148
MonotonicityNot monotonic
2023-02-02T09:38:27.500043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 570
97.8%
3.821759259 10
 
1.7%
3.893009259 3
 
0.5%
ValueCountFrequency (%)
0 570
97.8%
3.821759259 10
 
1.7%
3.893009259 3
 
0.5%
ValueCountFrequency (%)
3.893009259 3
 
0.5%
3.821759259 10
 
1.7%
0 570
97.8%

sum of aaN
Real number (ℝ)

Distinct13
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1074929501
Minimum0
Maximum4.697685185
Zeros568
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:28.025527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.697685185
Range4.697685185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6650836001
Coefficient of variation (CV)6.187229947
Kurtosis35.56234993
Mean0.1074929501
Median Absolute Deviation (MAD)0
Skewness6.091249108
Sum62.66838992
Variance0.4423361951
MonotonicityNot monotonic
2023-02-02T09:38:28.483919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 568
97.4%
4.460601852 2
 
0.3%
4.518371126 2
 
0.3%
4.697685185 2
 
0.3%
3.803936642 1
 
0.2%
3.84445062 1
 
0.2%
3.381720511 1
 
0.2%
3.699088157 1
 
0.2%
3.895833333 1
 
0.2%
4.578657407 1
 
0.2%
Other values (3) 3
 
0.5%
ValueCountFrequency (%)
0 568
97.4%
3.381720511 1
 
0.2%
3.699088157 1
 
0.2%
3.803936642 1
 
0.2%
3.84445062 1
 
0.2%
ValueCountFrequency (%)
4.697685185 2
0.3%
4.578657407 1
0.2%
4.518371126 2
0.3%
4.460601852 2
0.3%
4.095145424 1
0.2%

sum of sssN
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03834570678
Minimum0
Maximum4.630277778
Zeros577
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:28.964836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.630277778
Range4.630277778
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3919962513
Coefficient of variation (CV)10.22268943
Kurtosis115.9699531
Mean0.03834570678
Median Absolute Deviation (MAD)0
Skewness10.68163446
Sum22.35554705
Variance0.1536610611
MonotonicityNot monotonic
2023-02-02T09:38:29.365397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 577
99.0%
4.630277778 2
 
0.3%
4.443611111 1
 
0.2%
4.225408163 1
 
0.2%
2.298611111 1
 
0.2%
2.127361111 1
 
0.2%
ValueCountFrequency (%)
0 577
99.0%
2.127361111 1
 
0.2%
2.298611111 1
 
0.2%
4.225408163 1
 
0.2%
4.443611111 1
 
0.2%
ValueCountFrequency (%)
4.630277778 2
0.3%
4.443611111 1
0.2%
4.225408163 1
0.2%
2.298611111 1
0.2%
2.127361111 1
0.2%

sum of ddsN
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06903945111
Minimum-1.75
Maximum0
Zeros560
Zeros (%)96.1%
Negative23
Negative (%)3.9%
Memory size4.7 KiB
2023-02-02T09:38:29.805114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3409574705
Coefficient of variation (CV)-4.938588952
Kurtosis20.57520802
Mean-0.06903945111
Median Absolute Deviation (MAD)0
Skewness-4.743905089
Sum-40.25
Variance0.1162519967
MonotonicityNot monotonic
2023-02-02T09:38:30.204021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 560
96.1%
-1.75 23
 
3.9%
ValueCountFrequency (%)
-1.75 23
 
3.9%
0 560
96.1%
ValueCountFrequency (%)
0 560
96.1%
-1.75 23
 
3.9%

sum of aasN
Real number (ℝ)

Distinct93
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.368453795
Minimum0
Maximum4.824722222
Zeros372
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:30.806446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile4.407064292
Maximum4.824722222
Range4.824722222
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.894851082
Coefficient of variation (CV)1.384665737
Kurtosis-1.284303597
Mean1.368453795
Median Absolute Deviation (MAD)0
Skewness0.7669868815
Sum797.8085624
Variance3.590460625
MonotonicityNot monotonic
2023-02-02T09:38:31.555874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 372
63.8%
4.15625 25
 
4.3%
4.276944444 13
 
2.2%
4.231805556 11
 
1.9%
4.443611111 7
 
1.2%
4 7
 
1.2%
4.407064292 6
 
1.0%
4.322916667 5
 
0.9%
4.328849915 5
 
0.9%
4.358039336 5
 
0.9%
Other values (83) 127
 
21.8%
ValueCountFrequency (%)
0 372
63.8%
1.57690362 1
 
0.2%
1.819444444 1
 
0.2%
1.856481481 1
 
0.2%
1.860277778 1
 
0.2%
ValueCountFrequency (%)
4.824722222 1
0.2%
4.688263675 1
0.2%
4.673054768 1
0.2%
4.609455518 1
0.2%
4.589844892 1
0.2%

sum of ssssN
Real number (ℝ)

Distinct98
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5254594024
Minimum0
Maximum1.475308642
Zeros328
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:32.912785image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.226628874
95-th percentile1.375
Maximum1.475308642
Range1.475308642
Interquartile range (IQR)1.226628874

Descriptive statistics

Standard deviation0.6100220735
Coefficient of variation (CV)1.160930932
Kurtosis-1.753991568
Mean0.5254594024
Median Absolute Deviation (MAD)0
Skewness0.3689907934
Sum306.3428316
Variance0.3721269302
MonotonicityNot monotonic
2023-02-02T09:38:33.868206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 328
56.3%
1.355 19
 
3.3%
1.23 11
 
1.9%
1.25 10
 
1.7%
1.319444444 9
 
1.5%
1.277777778 8
 
1.4%
1.34375 8
 
1.4%
1.356481481 8
 
1.4%
1.42 6
 
1.0%
1.243888889 6
 
1.0%
Other values (88) 170
29.2%
ValueCountFrequency (%)
0 328
56.3%
0.4189814815 1
 
0.2%
0.599537037 1
 
0.2%
0.6238425926 1
 
0.2%
0.693287037 1
 
0.2%
ValueCountFrequency (%)
1.475308642 1
 
0.2%
1.46875 1
 
0.2%
1.463966837 2
0.3%
1.461575255 4
0.7%
1.459183673 4
0.7%

sum of sOH
Real number (ℝ)

Distinct22
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9313968457
Minimum0
Maximum34.80707105
Zeros543
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:34.555663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.934722222
Maximum34.80707105
Range34.80707105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.344299398
Coefficient of variation (CV)4.664283993
Kurtosis43.82967331
Mean0.9313968457
Median Absolute Deviation (MAD)0
Skewness6.299281424
Sum543.0043611
Variance18.87293726
MonotonicityNot monotonic
2023-02-02T09:38:35.235184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 543
93.1%
34.80707105 7
 
1.2%
6.9375 3
 
0.5%
8.38625 3
 
0.5%
7.742083333 3
 
0.5%
8.316064815 2
 
0.3%
8.768086735 2
 
0.3%
7.934722222 2
 
0.3%
8.727270408 2
 
0.3%
7.597222222 2
 
0.3%
Other values (12) 14
 
2.4%
ValueCountFrequency (%)
0 543
93.1%
6.9375 3
 
0.5%
7.597222222 2
 
0.3%
7.742083333 3
 
0.5%
7.8125 1
 
0.2%
ValueCountFrequency (%)
34.80707105 7
1.2%
22.53902778 1
 
0.2%
16.36 1
 
0.2%
14.15277778 1
 
0.2%
9.162361111 2
 
0.3%

sum of dO
Real number (ℝ)

Distinct54
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.1498481
Minimum0
Maximum53.36393519
Zeros272
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:36.515509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.25
Q320.77722978
95-th percentile39.77416667
Maximum53.36393519
Range53.36393519
Interquartile range (IQR)20.77722978

Descriptive statistics

Standard deviation16.10606528
Coefficient of variation (CV)1.138250048
Kurtosis-1.010651304
Mean14.1498481
Median Absolute Deviation (MAD)8.25
Skewness0.6945772769
Sum8249.361445
Variance259.4053388
MonotonicityNot monotonic
2023-02-02T09:38:37.716663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 272
46.7%
39.77416667 96
 
16.5%
17.94444444 29
 
5.0%
8.25 24
 
4.1%
20.77722978 14
 
2.4%
19.1740788 14
 
2.4%
8.784722222 11
 
1.9%
36.7775 11
 
1.9%
29.71604167 9
 
1.5%
41.48676871 8
 
1.4%
Other values (44) 95
 
16.3%
ValueCountFrequency (%)
0 272
46.7%
8.25 24
 
4.1%
8.770833333 2
 
0.3%
8.784722222 11
 
1.9%
8.888888889 5
 
0.9%
ValueCountFrequency (%)
53.36393519 2
0.3%
51.41945578 1
0.2%
51.02768857 1
0.2%
50.83552154 1
0.2%
50.00101852 1
0.2%

sum of ssO
Real number (ℝ)

Distinct65
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.164178673
Minimum0
Maximum20.79680556
Zeros469
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:38.955760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.361352986
Maximum20.79680556
Range20.79680556
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.69530506
Coefficient of variation (CV)2.315198795
Kurtosis11.6208498
Mean1.164178673
Median Absolute Deviation (MAD)0
Skewness2.938475244
Sum678.7161661
Variance7.264669365
MonotonicityNot monotonic
2023-02-02T09:38:39.869986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 469
80.4%
3.354166667 6
 
1.0%
5.329362245 5
 
0.9%
2.574281463 5
 
0.9%
5.09414966 4
 
0.7%
3.645833333 4
 
0.7%
4.310185185 4
 
0.7%
5.329253827 4
 
0.7%
5.087222222 4
 
0.7%
4.902222222 4
 
0.7%
Other values (55) 74
 
12.7%
ValueCountFrequency (%)
0 469
80.4%
2.574281463 5
 
0.9%
2.767291667 1
 
0.2%
3.354166667 6
 
1.0%
3.453378685 2
 
0.3%
ValueCountFrequency (%)
20.79680556 1
0.2%
20.73563878 1
0.2%
11.66179716 1
0.2%
11.62570457 1
0.2%
11.53480704 1
0.2%

sum of aaO
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007786828949
Minimum0
Maximum4.539721277
Zeros582
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:40.507475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.539721277
Range4.539721277
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1880160447
Coefficient of variation (CV)24.14539294
Kurtosis583
Mean0.007786828949
Median Absolute Deviation (MAD)0
Skewness24.14539294
Sum4.539721277
Variance0.03535003306
MonotonicityNot monotonic
2023-02-02T09:38:40.970869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 582
99.8%
4.539721277 1
 
0.2%
ValueCountFrequency (%)
0 582
99.8%
4.539721277 1
 
0.2%
ValueCountFrequency (%)
4.539721277 1
 
0.2%
0 582
99.8%

sum of sF
Real number (ℝ)

Distinct34
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.82657007
Minimum0
Maximum340.8209373
Zeros224
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:41.547234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39
Q368.63055556
95-th percentile139.7963889
Maximum340.8209373
Range340.8209373
Interquartile range (IQR)68.63055556

Descriptive statistics

Standard deviation54.42394189
Coefficient of variation (CV)1.187606705
Kurtosis7.612314252
Mean45.82657007
Median Absolute Deviation (MAD)39
Skewness2.194627834
Sum26716.89035
Variance2961.96545
MonotonicityNot monotonic
2023-02-02T09:38:42.134377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 224
38.4%
68.63055556 96
16.5%
39 52
 
8.9%
59.19444444 44
 
7.5%
31.98611111 29
 
5.0%
106.6661503 14
 
2.4%
139.7963889 12
 
2.1%
31.54861111 11
 
1.9%
62.89583333 11
 
1.9%
113.5180556 11
 
1.9%
Other values (24) 79
 
13.6%
ValueCountFrequency (%)
0 224
38.4%
22.14263889 11
 
1.9%
31.54861111 11
 
1.9%
31.98611111 29
 
5.0%
33.35541667 1
 
0.2%
ValueCountFrequency (%)
340.8209373 5
0.9%
238.6817963 1
 
0.2%
235.8661805 1
 
0.2%
226.1296079 3
0.5%
222.4173225 4
0.7%

sum of sSiH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:42.750624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:43.156545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssSiH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:43.653217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:44.081186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssSiH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:44.596108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:45.032972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssSi
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:45.593225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:46.058804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sPH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:46.637722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:47.380174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssPH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:48.182632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:48.714243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:49.251800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:49.779550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of dsssP
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01677148847
Minimum-4.888888889
Maximum0
Zeros581
Zeros (%)99.7%
Negative2
Negative (%)0.3%
Memory size4.7 KiB
2023-02-02T09:38:50.335638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-4.888888889
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range4.888888889
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2860997388
Coefficient of variation (CV)-17.05869693
Kurtosis288.9862129
Mean-0.01677148847
Median Absolute Deviation (MAD)0
Skewness-17.02923493
Sum-9.777777778
Variance0.08185306056
MonotonicityNot monotonic
2023-02-02T09:38:50.821068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 581
99.7%
-4.888888889 2
 
0.3%
ValueCountFrequency (%)
-4.888888889 2
 
0.3%
0 581
99.7%
ValueCountFrequency (%)
0 581
99.7%
-4.888888889 2
 
0.3%

sum of sssssP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:51.387788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:51.802687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sSH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:52.273108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:52.725930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of dS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:53.151034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:53.563241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:54.032164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:54.443339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of aaS
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009470604939
Minimum0
Maximum1.848822944
Zeros580
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:54.941898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.848822944
Range1.848822944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1317982239
Coefficient of variation (CV)13.9165581
Kurtosis191.0031805
Mean0.009470604939
Median Absolute Deviation (MAD)0
Skewness13.86877216
Sum5.521362679
Variance0.01737077181
MonotonicityNot monotonic
2023-02-02T09:38:55.350126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 580
99.5%
1.82733938 1
 
0.2%
1.845200355 1
 
0.2%
1.848822944 1
 
0.2%
ValueCountFrequency (%)
0 580
99.5%
1.82733938 1
 
0.2%
1.845200355 1
 
0.2%
1.848822944 1
 
0.2%
ValueCountFrequency (%)
1.848822944 1
 
0.2%
1.845200355 1
 
0.2%
1.82733938 1
 
0.2%
0 580
99.5%

sum of dssS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:55.866305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:38:56.250066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ddssS
Real number (ℝ)

Distinct26
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.021830121
Minimum-17.6175659
Maximum0
Zeros340
Zeros (%)58.3%
Negative243
Negative (%)41.7%
Memory size4.7 KiB
2023-02-02T09:38:57.163479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-17.6175659
5-th percentile-13.44305556
Q1-6.858229167
median0
Q30
95-th percentile0
Maximum0
Range17.6175659
Interquartile range (IQR)6.858229167

Descriptive statistics

Standard deviation5.459448224
Coefficient of variation (CV)-1.357453711
Kurtosis-0.6941002065
Mean-4.021830121
Median Absolute Deviation (MAD)0
Skewness-0.9538511564
Sum-2344.726961
Variance29.80557491
MonotonicityNot monotonic
2023-02-02T09:38:57.866482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 340
58.3%
-13.44305556 101
 
17.3%
-6.090277778 29
 
5.0%
-7.416805556 14
 
2.4%
-4.269583333 14
 
2.4%
-11.23958333 11
 
1.9%
-4.412037037 10
 
1.7%
-6.299652778 9
 
1.5%
-15.23986111 8
 
1.4%
-4.424189815 7
 
1.2%
Other values (16) 40
 
6.9%
ValueCountFrequency (%)
-17.6175659 3
 
0.5%
-15.91388889 2
 
0.3%
-15.23986111 8
 
1.4%
-13.44305556 101
17.3%
-11.23958333 11
 
1.9%
ValueCountFrequency (%)
0 340
58.3%
-3.912037037 3
 
0.5%
-3.916666667 6
 
1.0%
-3.924189815 2
 
0.3%
-3.936273148 1
 
0.2%

sum of sCl
Real number (ℝ)

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08726502446
Minimum0
Maximum19.97222222
Zeros579
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:58.540443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19.97222222
Range19.97222222
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.210696954
Coefficient of variation (CV)13.87379378
Kurtosis250.9999187
Mean0.08726502446
Median Absolute Deviation (MAD)0
Skewness15.58000151
Sum50.87550926
Variance1.465787113
MonotonicityNot monotonic
2023-02-02T09:38:59.165660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 579
99.3%
19.97222222 2
 
0.3%
5.51212963 1
 
0.2%
5.418935185 1
 
0.2%
ValueCountFrequency (%)
0 579
99.3%
5.418935185 1
 
0.2%
5.51212963 1
 
0.2%
19.97222222 2
 
0.3%
ValueCountFrequency (%)
19.97222222 2
 
0.3%
5.51212963 1
 
0.2%
5.418935185 1
 
0.2%
0 579
99.3%

sum of sGeH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:38:59.865375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:00.401668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssGeH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:00.878171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:01.420463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssGeH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:01.886390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:02.324910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssGe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:02.867950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:03.297451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sAsH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:03.795117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:04.219183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssAsH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:04.740746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:05.218569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:05.772421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:06.336338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssdAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:06.854168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:07.330524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssssAs
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:07.831455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:08.474479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sSeH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:09.277481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:09.800899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of dSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:10.357602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:10.881252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:11.414191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:11.897443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of aaSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:12.402358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:12.929941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of dssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:13.531904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:14.102548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ddssSe
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:14.779701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:15.371289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sBr
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1129216695
Minimum0
Maximum13.16666667
Zeros578
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:15.912561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.16666667
Range13.16666667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.215147486
Coefficient of variation (CV)10.76097697
Kurtosis112.5821503
Mean0.1129216695
Median Absolute Deviation (MAD)0
Skewness10.68625019
Sum65.83333333
Variance1.476583412
MonotonicityNot monotonic
2023-02-02T09:39:16.464422image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 578
99.1%
13.16666667 5
 
0.9%
ValueCountFrequency (%)
0 578
99.1%
13.16666667 5
 
0.9%
ValueCountFrequency (%)
13.16666667 5
 
0.9%
0 578
99.1%

sum of sSnH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:16.957521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:17.435499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssSnH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:17.947655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:18.492151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssSnH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:19.046937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:19.607373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssSn
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:20.143532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:20.739015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sI
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:21.251301image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:21.713203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sPbH3
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:22.219391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:22.734533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssPbH2
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:23.569180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:24.103686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of sssPbH
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:24.613371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:25.074322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

sum of ssssPb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:25.611344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:39:26.357974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4103259005
Minimum800000000
Maximum1.7 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:27.260310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum800000000
5-th percentile1620000000
Q12800000000
median4000000000
Q35000000000
95-th percentile7000000000
Maximum1.7 × 1010
Range1.62 × 1010
Interquartile range (IQR)2200000000

Descriptive statistics

Standard deviation1868376644
Coefficient of variation (CV)0.4553396805
Kurtosis10.52278008
Mean4103259005
Median Absolute Deviation (MAD)1000000000
Skewness2.140700043
Sum2.3922 × 1012
Variance3.490831285 × 1018
MonotonicityNot monotonic
2023-02-02T09:39:28.400180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3200000000 35
 
6.0%
2800000000 34
 
5.8%
4000000000 32
 
5.5%
3000000000 32
 
5.5%
4800000000 31
 
5.3%
4600000000 30
 
5.1%
5200000000 27
 
4.6%
3800000000 25
 
4.3%
3600000000 25
 
4.3%
4200000000 24
 
4.1%
Other values (36) 288
49.4%
ValueCountFrequency (%)
800000000 2
 
0.3%
1000000000 3
 
0.5%
1200000000 7
1.2%
1400000000 8
1.4%
1600000000 10
1.7%
ValueCountFrequency (%)
1.7 × 10101
0.2%
1.56 × 10102
0.3%
1.44 × 10101
0.2%
1.42 × 10101
0.2%
9400000000 1
0.2%

fragment complexity
Real number (ℝ)

Distinct317
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.34015437
Minimum6.03
Maximum534.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:29.258588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.03
5-th percentile11.04
Q117.085
median26.03
Q350.105
95-th percentile91.773
Maximum534.27
Range528.24
Interquartile range (IQR)33.02

Descriptive statistics

Standard deviation50.32896499
Coefficient of variation (CV)1.247614586
Kurtosis57.19521209
Mean40.34015437
Median Absolute Deviation (MAD)11.01
Skewness6.642771869
Sum23518.31
Variance2533.004717
MonotonicityNot monotonic
2023-02-02T09:39:30.034713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.15 8
 
1.4%
10.03 7
 
1.2%
23.15 7
 
1.2%
15.07 7
 
1.2%
16.09 7
 
1.2%
14.07 6
 
1.0%
25.15 6
 
1.0%
27.15 6
 
1.0%
23.14 5
 
0.9%
71.14 5
 
0.9%
Other values (307) 519
89.0%
ValueCountFrequency (%)
6.03 2
 
0.3%
7.03 3
0.5%
8.03 5
0.9%
9.03 3
0.5%
9.04 1
 
0.2%
ValueCountFrequency (%)
534.27 1
0.2%
534.26 1
0.2%
492.27 1
0.2%
485.27 1
0.2%
419.26 1
0.2%

molecular framework ratio
Real number (ℝ)

Distinct127
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1006787947
Minimum0
Maximum0.5434782609
Zeros214
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:30.844247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1063829787
Q30.1587701613
95-th percentile0.2618012422
Maximum0.5434782609
Range0.5434782609
Interquartile range (IQR)0.1587701613

Descriptive statistics

Standard deviation0.09519433107
Coefficient of variation (CV)0.9455251358
Kurtosis0.960128064
Mean0.1006787947
Median Absolute Deviation (MAD)0.09361702128
Skewness0.807825317
Sum58.69573733
Variance0.009061960668
MonotonicityNot monotonic
2023-02-02T09:39:31.622657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 214
36.7%
0.1388888889 14
 
2.4%
0.1666666667 14
 
2.4%
0.1515151515 13
 
2.2%
0.125 12
 
2.1%
0.1111111111 10
 
1.7%
0.1428571429 9
 
1.5%
0.1282051282 9
 
1.5%
0.1724137931 8
 
1.4%
0.1 8
 
1.4%
Other values (117) 272
46.7%
ValueCountFrequency (%)
0 214
36.7%
0.05263157895 1
 
0.2%
0.05617977528 1
 
0.2%
0.06097560976 1
 
0.2%
0.0612244898 1
 
0.2%
ValueCountFrequency (%)
0.5434782609 1
0.2%
0.5 1
0.2%
0.4489795918 1
0.2%
0.4166666667 1
0.2%
0.4098360656 1
0.2%
Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.644939966
Minimum0
Maximum9
Zeros89
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:32.291004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.91463103
Coefficient of variation (CV)0.7238844945
Kurtosis-0.5508644353
Mean2.644939966
Median Absolute Deviation (MAD)2
Skewness0.3325247006
Sum1542
Variance3.665811981
MonotonicityNot monotonic
2023-02-02T09:39:32.850097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 124
21.3%
4 114
19.6%
0 89
15.3%
3 83
14.2%
5 75
12.9%
2 67
11.5%
6 23
 
3.9%
8 6
 
1.0%
9 2
 
0.3%
ValueCountFrequency (%)
0 89
15.3%
1 124
21.3%
2 67
11.5%
3 83
14.2%
4 114
19.6%
ValueCountFrequency (%)
9 2
 
0.3%
8 6
 
1.0%
6 23
 
3.9%
5 75
12.9%
4 114
19.6%
Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.243567753
Minimum0
Maximum5
Zeros482
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:33.502667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.659862241
Coefficient of variation (CV)2.709152722
Kurtosis20.78002997
Mean0.243567753
Median Absolute Deviation (MAD)0
Skewness4.046978735
Sum142
Variance0.4354181771
MonotonicityNot monotonic
2023-02-02T09:39:34.174696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 482
82.7%
1 79
 
13.6%
2 13
 
2.2%
4 4
 
0.7%
5 3
 
0.5%
3 2
 
0.3%
ValueCountFrequency (%)
0 482
82.7%
1 79
 
13.6%
2 13
 
2.2%
3 2
 
0.3%
4 4
 
0.7%
ValueCountFrequency (%)
5 3
 
0.5%
4 4
 
0.7%
3 2
 
0.3%
2 13
 
2.2%
1 79
13.6%
Distinct496
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.748371366
Minimum1.032662603
Maximum2.470714852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:34.962911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.032662603
5-th percentile1.141150648
Q11.496384399
median1.754150365
Q32.019836061
95-th percentile2.269745535
Maximum2.470714852
Range1.438052249
Interquartile range (IQR)0.5234516616

Descriptive statistics

Standard deviation0.3400786632
Coefficient of variation (CV)0.1945116866
Kurtosis-0.8391202021
Mean1.748371366
Median Absolute Deviation (MAD)0.2631364943
Skewness-0.08523179927
Sum1019.300506
Variance0.1156534971
MonotonicityNot monotonic
2023-02-02T09:39:35.825912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.141150648 5
 
0.9%
2.072226758 4
 
0.7%
1.570620376 4
 
0.7%
1.446464375 4
 
0.7%
1.069969387 3
 
0.5%
2.208196592 3
 
0.5%
1.65846027 3
 
0.5%
1.065849467 3
 
0.5%
1.543751954 3
 
0.5%
2.184466 3
 
0.5%
Other values (486) 548
94.0%
ValueCountFrequency (%)
1.032662603 1
0.2%
1.03499711 1
0.2%
1.054840315 1
0.2%
1.058304501 1
0.2%
1.06196809 1
0.2%
ValueCountFrequency (%)
2.470714852 1
0.2%
2.435086092 1
0.2%
2.426801986 1
0.2%
2.423697214 2
0.3%
2.392590697 1
0.2%
Distinct538
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.641920371
Minimum1.34063937
Maximum3.667913944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:36.788174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.34063937
5-th percentile1.639254525
Q12.277114514
median2.687878507
Q33.046850636
95-th percentile3.383185707
Maximum3.667913944
Range2.327274574
Interquartile range (IQR)0.7697361222

Descriptive statistics

Standard deviation0.5176701419
Coefficient of variation (CV)0.1959446422
Kurtosis-0.4878219181
Mean2.641920371
Median Absolute Deviation (MAD)0.3920221652
Skewness-0.4144762166
Sum1540.239576
Variance0.2679823758
MonotonicityNot monotonic
2023-02-02T09:39:37.755660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.134871139 3
 
0.5%
1.567530094 3
 
0.5%
2.295856342 3
 
0.5%
1.436715927 3
 
0.5%
1.595175521 3
 
0.5%
3.364299088 2
 
0.3%
1.447864899 2
 
0.3%
1.915420099 2
 
0.3%
2.152254064 2
 
0.3%
2.193255385 2
 
0.3%
Other values (528) 558
95.7%
ValueCountFrequency (%)
1.34063937 1
0.2%
1.346500288 1
0.2%
1.405837982 1
0.2%
1.415719789 1
0.2%
1.426006479 1
0.2%
ValueCountFrequency (%)
3.667913944 1
0.2%
3.664554461 1
0.2%
3.617809684 1
0.2%
3.60869497 1
0.2%
3.519509267 1
0.2%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.587024252
Minimum1.876357639
Maximum4.59856294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:38.800271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.876357639
5-th percentile2.78000071
Q13.289997395
median3.619559271
Q33.908815417
95-th percentile4.257626852
Maximum4.59856294
Range2.7222053
Interquartile range (IQR)0.6188180221

Descriptive statistics

Standard deviation0.4567305287
Coefficient of variation (CV)0.127328531
Kurtosis-0.06874849332
Mean3.587024252
Median Absolute Deviation (MAD)0.3114019421
Skewness-0.3668510982
Sum2091.235139
Variance0.2086027758
MonotonicityNot monotonic
2023-02-02T09:39:39.861575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.36382639 3
 
0.5%
3.240580855 3
 
0.5%
3.846439345 3
 
0.5%
3.872905595 3
 
0.5%
3.849223912 3
 
0.5%
3.4677201 2
 
0.3%
2.602363482 2
 
0.3%
4.004344446 2
 
0.3%
3.264735179 2
 
0.3%
3.063721876 2
 
0.3%
Other values (517) 558
95.7%
ValueCountFrequency (%)
1.876357639 1
0.2%
2.187516045 1
0.2%
2.280639062 1
0.2%
2.321082042 1
0.2%
2.35332872 1
0.2%
ValueCountFrequency (%)
4.59856294 1
0.2%
4.589780198 1
0.2%
4.58349913 1
0.2%
4.54346519 1
0.2%
4.535863096 1
0.2%
Distinct524
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.911265923
Minimum1.876357639
Maximum4.996115365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:40.896548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.876357639
5-th percentile3.200140609
Q13.606947142
median3.915043106
Q34.234549442
95-th percentile4.626959857
Maximum4.996115365
Range3.119757726
Interquartile range (IQR)0.6276022997

Descriptive statistics

Standard deviation0.4551867882
Coefficient of variation (CV)0.1163783791
Kurtosis0.4901581564
Mean3.911265923
Median Absolute Deviation (MAD)0.3148552164
Skewness-0.2499170122
Sum2280.268033
Variance0.2071950122
MonotonicityNot monotonic
2023-02-02T09:39:41.748476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.495906598 4
 
0.7%
3.830546609 3
 
0.5%
4.419381946 3
 
0.5%
4.286225937 3
 
0.5%
4.139572262 3
 
0.5%
3.4677201 2
 
0.3%
3.55895321 2
 
0.3%
4.121219244 2
 
0.3%
3.60869497 2
 
0.3%
4.031401845 2
 
0.3%
Other values (514) 557
95.5%
ValueCountFrequency (%)
1.876357639 1
0.2%
2.280639062 1
0.2%
2.432999307 1
0.2%
2.557717469 1
0.2%
2.636141082 1
0.2%
ValueCountFrequency (%)
4.996115365 1
0.2%
4.938803406 1
0.2%
4.922137842 1
0.2%
4.919551993 1
0.2%
4.90002515 2
0.3%
Distinct519
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.058857032
Minimum1.876357639
Maximum5.298183824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:42.585363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.876357639
5-th percentile3.240580855
Q13.786318581
median4.07841852
Q34.402529763
95-th percentile4.843367921
Maximum5.298183824
Range3.421826184
Interquartile range (IQR)0.6162111816

Descriptive statistics

Standard deviation0.4895020854
Coefficient of variation (CV)0.1206009676
Kurtosis0.6624533775
Mean4.058857032
Median Absolute Deviation (MAD)0.3071778953
Skewness-0.3974509919
Sum2366.31365
Variance0.2396122916
MonotonicityNot monotonic
2023-02-02T09:39:43.422185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.611949334 4
 
0.7%
4.495906598 4
 
0.7%
3.813721876 4
 
0.7%
4.419381946 3
 
0.5%
4.30049752 3
 
0.5%
4.286225937 3
 
0.5%
4.139572262 3
 
0.5%
4.229327352 2
 
0.3%
4.719349268 2
 
0.3%
3.311037868 2
 
0.3%
Other values (509) 553
94.9%
ValueCountFrequency (%)
1.876357639 1
0.2%
2.280639062 1
0.2%
2.432999307 1
0.2%
2.557717469 1
0.2%
2.636141082 1
0.2%
ValueCountFrequency (%)
5.298183824 1
0.2%
5.252505294 1
0.2%
5.195197645 1
0.2%
5.157431959 1
0.2%
5.079448699 1
0.2%
Distinct517
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.114890336
Minimum1.876357639
Maximum5.373717415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:44.275877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.876357639
5-th percentile3.240580855
Q13.792058562
median4.142295219
Q34.4945282
95-th percentile4.90002515
Maximum5.373717415
Range3.497359775
Interquartile range (IQR)0.7024696383

Descriptive statistics

Standard deviation0.523413888
Coefficient of variation (CV)0.1271999605
Kurtosis0.3698365249
Mean4.114890336
Median Absolute Deviation (MAD)0.3508545833
Skewness-0.3876483779
Sum2398.981066
Variance0.2739620982
MonotonicityNot monotonic
2023-02-02T09:39:45.543054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.495906598 4
 
0.7%
3.813721876 4
 
0.7%
4.611949334 4
 
0.7%
4.139572262 3
 
0.5%
4.719349268 3
 
0.5%
4.150158513 3
 
0.5%
4.419381946 3
 
0.5%
4.30049752 3
 
0.5%
4.286225937 3
 
0.5%
4.177567157 2
 
0.3%
Other values (507) 551
94.5%
ValueCountFrequency (%)
1.876357639 1
0.2%
2.280639062 1
0.2%
2.432999307 1
0.2%
2.557717469 1
0.2%
2.636141082 1
0.2%
ValueCountFrequency (%)
5.373717415 1
0.2%
5.33900015 1
0.2%
5.245447224 1
0.2%
5.223231429 1
0.2%
5.21132014 1
0.2%
Distinct499
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.72343237
Minimum22.44410733
Maximum234.2122668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:46.407824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum22.44410733
5-th percentile34.32375919
Q155.86540672
median73.85275556
Q392.26052558
95-th percentile123.9884595
Maximum234.2122668
Range211.7681595
Interquartile range (IQR)36.39511885

Descriptive statistics

Standard deviation28.80688037
Coefficient of variation (CV)0.3804222745
Kurtosis2.57682223
Mean75.72343237
Median Absolute Deviation (MAD)18.25800161
Skewness1.012452416
Sum44146.76107
Variance829.8363569
MonotonicityNot monotonic
2023-02-02T09:39:47.158743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.77523113 5
 
0.9%
58.11295391 4
 
0.7%
97.39465761 4
 
0.7%
37.60807374 4
 
0.7%
89.2283833 3
 
0.5%
93.04737337 3
 
0.5%
83.91147051 3
 
0.5%
60.64662506 3
 
0.5%
93.932038 3
 
0.5%
86.66752037 3
 
0.5%
Other values (489) 548
94.0%
ValueCountFrequency (%)
22.44410733 1
0.2%
23.31914642 1
0.2%
23.65148445 2
0.3%
25.84847143 1
0.2%
26.08368796 1
0.2%
ValueCountFrequency (%)
234.2122668 1
0.2%
198.7051953 1
0.2%
192.1954581 1
0.2%
183.0948106 1
0.2%
181.0948106 1
0.2%
Distinct537
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.3704322
Minimum33.77443751
Maximum428.2455594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:47.966523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum33.77443751
5-th percentile56.96096303
Q183.595167
median109.866024
Q3133.6368796
95-th percentile178.7863885
Maximum428.2455594
Range394.4711219
Interquartile range (IQR)50.04171263

Descriptive statistics

Standard deviation43.06982043
Coefficient of variation (CV)0.3799034685
Kurtosis9.457127391
Mean113.3704322
Median Absolute Deviation (MAD)25.21939896
Skewness1.938873964
Sum66094.96199
Variance1855.009432
MonotonicityNot monotonic
2023-02-02T09:39:48.732803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.83229392 3
 
0.5%
169.8933693 3
 
0.5%
76.56842503 3
 
0.5%
84.64662506 3
 
0.5%
120.6841379 3
 
0.5%
131.6752774 2
 
0.3%
76.65146841 2
 
0.3%
107.6127032 2
 
0.3%
56.85318624 2
 
0.3%
75.13250391 2
 
0.3%
Other values (527) 558
95.7%
ValueCountFrequency (%)
33.77443751 1
0.2%
34.05374781 1
0.2%
36.490225 1
0.2%
40.23883096 1
0.2%
42.23883096 1
0.2%
ValueCountFrequency (%)
428.2455594 1
0.2%
374.6646521 1
0.2%
360.3876592 1
0.2%
322.72361 1
0.2%
312.4716803 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.8143043
Minimum33.77443751
Maximum545.6470719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:49.612548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum33.77443751
5-th percentile72.97116901
Q1117.9942301
median150.6209115
Q3189.518028
95-th percentile268.2780139
Maximum545.6470719
Range511.8726344
Interquartile range (IQR)71.52379787

Descriptive statistics

Standard deviation62.16255084
Coefficient of variation (CV)0.3938968087
Kurtosis3.937524143
Mean157.8143043
Median Absolute Deviation (MAD)35.03490412
Skewness1.222096137
Sum92005.73942
Variance3864.182728
MonotonicityNot monotonic
2023-02-02T09:39:50.463865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.53214998 3
 
0.5%
110.1797491 3
 
0.5%
116.1871679 3
 
0.5%
121.09775 3
 
0.5%
48.54808141 2
 
0.3%
218.5985325 2
 
0.3%
161.0942893 2
 
0.3%
108.1173001 2
 
0.3%
195.8841107 2
 
0.3%
144.0391 2
 
0.3%
Other values (516) 559
95.9%
ValueCountFrequency (%)
33.77443751 1
0.2%
34.05374781 1
0.2%
36.490225 1
0.2%
45.09358393 1
0.2%
47.09358393 1
0.2%
ValueCountFrequency (%)
545.6470719 1
0.2%
455.1448929 1
0.2%
437.9967638 1
0.2%
391.8171939 1
0.2%
378.1133457 1
0.2%
Distinct520
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.4186206
Minimum33.77443751
Maximum635.725272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:51.279276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum33.77443751
5-th percentile74.74888048
Q1124.0029958
median163.7443751
Q3214.0052118
95-th percentile317.0527097
Maximum635.725272
Range601.9508345
Interquartile range (IQR)90.002216

Descriptive statistics

Standard deviation77.25327205
Coefficient of variation (CV)0.440393795
Kurtosis3.174829305
Mean175.4186206
Median Absolute Deviation (MAD)42.80231975
Skewness1.246915833
Sum102269.0558
Variance5968.068043
MonotonicityNot monotonic
2023-02-02T09:39:52.001854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.8526375 4
 
0.7%
198.1138393 3
 
0.5%
216.8687268 3
 
0.5%
157.2602431 3
 
0.5%
159.09775 3
 
0.5%
141.4454559 3
 
0.5%
124.1871679 3
 
0.5%
420.9964704 2
 
0.3%
240.1012324 2
 
0.3%
152.485112 2
 
0.3%
Other values (510) 555
95.2%
ValueCountFrequency (%)
33.77443751 1
0.2%
34.05374781 1
0.2%
36.490225 1
0.2%
45.09358393 1
0.2%
47.09358393 1
0.2%
ValueCountFrequency (%)
635.725272 1
0.2%
511.0932298 1
0.2%
507.5289097 1
0.2%
434.836744 1
0.2%
420.9964704 2
0.3%
Distinct517
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.9698112
Minimum33.77443751
Maximum685.725272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:52.996839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum33.77443751
5-th percentile74.74888048
Q1124.7512955
median167.1026863
Q3223.8144682
95-th percentile352.4900552
Maximum685.725272
Range651.9508345
Interquartile range (IQR)99.06317274

Descriptive statistics

Standard deviation86.63827504
Coefficient of variation (CV)0.4709374569
Kurtosis2.947939094
Mean183.9698112
Median Absolute Deviation (MAD)47.24078743
Skewness1.309210429
Sum107254.3999
Variance7506.190702
MonotonicityNot monotonic
2023-02-02T09:39:53.903155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183.05865 4
 
0.7%
161.8526375 4
 
0.7%
179.866024 4
 
0.7%
157.2602431 3
 
0.5%
124.1871679 3
 
0.5%
159.09775 3
 
0.5%
133.3154231 3
 
0.5%
141.4454559 3
 
0.5%
212.8687268 2
 
0.3%
185.516801 2
 
0.3%
Other values (507) 552
94.7%
ValueCountFrequency (%)
33.77443751 1
0.2%
34.05374781 1
0.2%
36.490225 1
0.2%
45.09358393 1
0.2%
47.09358393 1
0.2%
ValueCountFrequency (%)
685.725272 1
0.2%
543.5834548 1
0.2%
540.0191347 1
0.2%
483.9769204 1
0.2%
476.9964704 1
0.2%
Distinct512
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.9071581
Minimum33.77443751
Maximum721.725272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:54.897935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum33.77443751
5-th percentile74.74888048
Q1124.7512955
median167.1026863
Q3227.1312395
95-th percentile366.4229672
Maximum721.725272
Range687.9508345
Interquartile range (IQR)102.379944

Descriptive statistics

Standard deviation93.21576046
Coefficient of variation (CV)0.496073494
Kurtosis3.20303496
Mean187.9071581
Median Absolute Deviation (MAD)48.8771238
Skewness1.421292612
Sum109549.8732
Variance8689.177998
MonotonicityNot monotonic
2023-02-02T09:39:55.691226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.8526375 4
 
0.7%
183.05865 4
 
0.7%
179.866024 4
 
0.7%
157.2602431 3
 
0.5%
141.4454559 3
 
0.5%
216.8687268 3
 
0.5%
136.9552309 3
 
0.5%
198.2126693 3
 
0.5%
159.09775 3
 
0.5%
133.3154231 3
 
0.5%
Other values (502) 550
94.3%
ValueCountFrequency (%)
33.77443751 1
0.2%
34.05374781 1
0.2%
36.490225 1
0.2%
45.09358393 1
0.2%
47.09358393 1
0.2%
ValueCountFrequency (%)
721.725272 1
0.2%
588.6030048 1
0.2%
585.0386847 1
0.2%
527.9378204 1
0.2%
492.9964704 1
0.2%
Distinct497
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3319597363
Minimum0.1503068098
Maximum0.5898001807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:56.530200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1503068098
5-th percentile0.1951533629
Q10.2739626064
median0.337364857
Q30.3918838888
95-th percentile0.4564016319
Maximum0.5898001807
Range0.4394933708
Interquartile range (IQR)0.1179212825

Descriptive statistics

Standard deviation0.07998565205
Coefficient of variation (CV)0.2409498601
Kurtosis-0.5304291838
Mean0.3319597363
Median Absolute Deviation (MAD)0.05671766278
Skewness-0.08198578841
Sum193.5325263
Variance0.006397704533
MonotonicityNot monotonic
2023-02-02T09:39:57.209212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2043255704 5
 
0.9%
0.3077295873 4
 
0.7%
0.3730657323 4
 
0.7%
0.301494277 4
 
0.7%
0.3873504018 3
 
0.5%
0.1667391333 3
 
0.5%
0.4207749796 3
 
0.5%
0.3571905688 3
 
0.5%
0.4264893277 3
 
0.5%
0.1875709418 3
 
0.5%
Other values (487) 548
94.0%
ValueCountFrequency (%)
0.1503068098 1
0.2%
0.1514728187 1
0.2%
0.1613113163 1
0.2%
0.163020402 1
0.2%
0.164826541 1
0.2%
ValueCountFrequency (%)
0.5898001807 1
0.2%
0.5363018369 1
0.2%
0.5139447559 1
0.2%
0.4983724802 2
0.3%
0.4919380194 1
0.2%
Distinct538
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5034141325
Minimum0.1951336536
Maximum0.8948855177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:57.956882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1951336536
5-th percentile0.2730287923
Q10.420140059
median0.5039013188
Q30.5956205272
95-th percentile0.7080974584
Maximum0.8948855177
Range0.6997518641
Interquartile range (IQR)0.1754804682

Descriptive statistics

Standard deviation0.1295992866
Coefficient of variation (CV)0.2574407
Kurtosis-0.2669330824
Mean0.5034141325
Median Absolute Deviation (MAD)0.08957216628
Skewness-0.02606457796
Sum293.4904392
Variance0.0167959751
MonotonicityNot monotonic
2023-02-02T09:39:58.652335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7137168919 3
 
0.5%
0.2723824042 3
 
0.5%
0.3697356606 3
 
0.5%
0.2247566621 3
 
0.5%
0.2856197372 3
 
0.5%
0.6559004596 2
 
0.3%
0.3529905351 2
 
0.3%
0.228375261 2
 
0.3%
0.381344597 2
 
0.3%
0.3628577723 2
 
0.3%
Other values (528) 558
95.7%
ValueCountFrequency (%)
0.1951336536 1
0.2%
0.1970616071 1
0.2%
0.2149875882 1
0.2%
0.2180763748 1
0.2%
0.2213284161 1
0.2%
ValueCountFrequency (%)
0.8948855177 1
0.2%
0.8874359136 1
0.2%
0.8349733939 1
0.2%
0.8236676306 1
0.2%
0.8215901441 2
0.3%
Distinct532
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6783284206
Minimum0.3378397125
Maximum0.910795072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:39:59.902494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3378397125
5-th percentile0.4594721493
Q10.6064803261
median0.6887435292
Q30.7655535196
95-th percentile0.84370662
Maximum0.910795072
Range0.5729553595
Interquartile range (IQR)0.1590731935

Descriptive statistics

Standard deviation0.1170119132
Coefficient of variation (CV)0.1725003843
Kurtosis-0.3374180284
Mean0.6783284206
Median Absolute Deviation (MAD)0.08011433625
Skewness-0.4414196779
Sum395.4654692
Variance0.01369178783
MonotonicityNot monotonic
2023-02-02T09:40:00.664388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8509276428 3
 
0.5%
0.6369738623 3
 
0.5%
0.650652841 3
 
0.5%
0.910795072 2
 
0.3%
0.7603969365 2
 
0.3%
0.8421533516 2
 
0.3%
0.6811471488 2
 
0.3%
0.5485662393 2
 
0.3%
0.6989882833 2
 
0.3%
0.7779348709 2
 
0.3%
Other values (522) 560
96.1%
ValueCountFrequency (%)
0.3378397125 1
0.2%
0.3444119128 1
0.2%
0.3856652891 1
0.2%
0.3878129191 1
0.2%
0.3925442336 1
0.2%
ValueCountFrequency (%)
0.910795072 2
0.3%
0.9027890065 2
0.3%
0.8987154887 1
0.2%
0.8948855177 1
0.2%
0.8899822626 2
0.3%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7361194033
Minimum0.4383411769
Maximum0.92185331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:01.409686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4383411769
5-th percentile0.55300303
Q10.6672854581
median0.7519734134
Q30.8078180551
95-th percentile0.8775371366
Maximum0.92185331
Range0.483512133
Interquartile range (IQR)0.140532597

Descriptive statistics

Standard deviation0.1013404128
Coefficient of variation (CV)0.1376684439
Kurtosis-0.5752781991
Mean0.7361194033
Median Absolute Deviation (MAD)0.07042349935
Skewness-0.4227519708
Sum429.1576121
Variance0.01026987926
MonotonicityNot monotonic
2023-02-02T09:40:02.119215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8696270443 4
 
0.7%
0.854825156 3
 
0.5%
0.8497008433 3
 
0.5%
0.8436243241 3
 
0.5%
0.8047019764 2
 
0.3%
0.6064803261 2
 
0.3%
0.8575369011 2
 
0.3%
0.6632814628 2
 
0.3%
0.7662989377 2
 
0.3%
0.5363869751 2
 
0.3%
Other values (515) 558
95.7%
ValueCountFrequency (%)
0.4383411769 1
0.2%
0.4499739537 1
0.2%
0.4622035903 1
0.2%
0.4706063059 1
0.2%
0.5020392416 1
0.2%
ValueCountFrequency (%)
0.92185331 1
0.2%
0.910795072 2
0.3%
0.9077451678 1
0.2%
0.9059534131 1
0.2%
0.9058207996 1
0.2%
Distinct520
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7620324731
Minimum0.4499739537
Maximum0.9460694999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:02.769575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4499739537
5-th percentile0.597845116
Q10.6883448506
median0.7798420386
Q30.8436243241
95-th percentile0.8839668097
Maximum0.9460694999
Range0.4960955462
Interquartile range (IQR)0.1552794734

Descriptive statistics

Standard deviation0.09516544269
Coefficient of variation (CV)0.1248837104
Kurtosis-0.5595864655
Mean0.7620324731
Median Absolute Deviation (MAD)0.07070662031
Skewness-0.50493057
Sum444.2649318
Variance0.009056461483
MonotonicityNot monotonic
2023-02-02T09:40:03.507197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8725824721 4
 
0.7%
0.8696270443 4
 
0.7%
0.6828554131 4
 
0.7%
0.854825156 3
 
0.5%
0.8436243241 3
 
0.5%
0.8497008433 3
 
0.5%
0.8680514962 3
 
0.5%
0.7106135277 2
 
0.3%
0.8751987129 2
 
0.3%
0.7935546057 2
 
0.3%
Other values (510) 553
94.9%
ValueCountFrequency (%)
0.4499739537 1
0.2%
0.4706063059 1
0.2%
0.5269092127 2
0.3%
0.5297416357 1
0.2%
0.5398733258 2
0.3%
ValueCountFrequency (%)
0.9460694999 1
0.2%
0.9452819531 1
0.2%
0.9436255783 1
0.2%
0.9293917829 1
0.2%
0.92185331 1
0.2%
Distinct519
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7713133872
Minimum0.4499739537
Maximum0.9577819531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:04.205521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4499739537
5-th percentile0.6066987047
Q10.7073011046
median0.7889097656
Q30.8468960941
95-th percentile0.8899761383
Maximum0.9577819531
Range0.5078079994
Interquartile range (IQR)0.1395949895

Descriptive statistics

Standard deviation0.09177841012
Coefficient of variation (CV)0.1189897798
Kurtosis-0.2704865522
Mean0.7713133872
Median Absolute Deviation (MAD)0.06716962282
Skewness-0.5938588652
Sum449.6757047
Variance0.008423276563
MonotonicityNot monotonic
2023-02-02T09:40:04.937462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6828554131 4
 
0.7%
0.8696270443 4
 
0.7%
0.8725824721 4
 
0.7%
0.8497008433 3
 
0.5%
0.8751987129 3
 
0.5%
0.8227268558 3
 
0.5%
0.854825156 3
 
0.5%
0.8680514962 3
 
0.5%
0.8436243241 3
 
0.5%
0.910795072 2
 
0.3%
Other values (509) 551
94.5%
ValueCountFrequency (%)
0.4499739537 1
0.2%
0.4706063059 1
0.2%
0.5269092127 2
0.3%
0.5398733258 2
0.3%
0.5483558266 1
0.2%
ValueCountFrequency (%)
0.9577819531 1
0.2%
0.9508951127 1
0.2%
0.9460694999 1
0.2%
0.9293917829 1
0.2%
0.92185331 1
0.2%
Distinct501
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3280335429
Minimum0.1508529843
Maximum0.6142135939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:05.645885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1508529843
5-th percentile0.1970173714
Q10.2715757522
median0.3346874546
Q30.3843482439
95-th percentile0.4474844936
Maximum0.6142135939
Range0.4633606095
Interquartile range (IQR)0.1127724917

Descriptive statistics

Standard deviation0.07760704513
Coefficient of variation (CV)0.2365826508
Kurtosis-0.4511212928
Mean0.3280335429
Median Absolute Deviation (MAD)0.0562682291
Skewness-0.08500928104
Sum191.2435555
Variance0.006022853454
MonotonicityNot monotonic
2023-02-02T09:40:06.333332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2065968767 5
 
0.9%
0.3062066122 4
 
0.7%
0.3042058038 4
 
0.7%
0.3690710322 4
 
0.7%
0.4132931991 3
 
0.5%
0.1676509238 3
 
0.5%
0.1697345498 3
 
0.5%
0.4110948661 3
 
0.5%
0.414924169 3
 
0.5%
0.3828531386 3
 
0.5%
Other values (491) 548
94.0%
ValueCountFrequency (%)
0.1508529843 1
0.2%
0.1520410089 1
0.2%
0.1620887526 1
0.2%
0.1638386415 1
0.2%
0.1656893925 1
0.2%
ValueCountFrequency (%)
0.6142135939 1
0.2%
0.5137681937 1
0.2%
0.4924678782 1
0.2%
0.4897941742 1
0.2%
0.4893477511 1
0.2%
Distinct544
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4970136046
Minimum0.1958427168
Maximum0.9319272322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:07.043011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1958427168
5-th percentile0.2749840664
Q10.4165305656
median0.4977068768
Q30.5840462858
95-th percentile0.6881953709
Maximum0.9319272322
Range0.7360845154
Interquartile range (IQR)0.1675157202

Descriptive statistics

Standard deviation0.1243384912
Coefficient of variation (CV)0.2501712027
Kurtosis-0.106132171
Mean0.4970136046
Median Absolute Deviation (MAD)0.08412839114
Skewness-0.03006240045
Sum289.7589315
Variance0.0154600604
MonotonicityNot monotonic
2023-02-02T09:40:07.724317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3674588633 3
 
0.5%
0.2887947187 3
 
0.5%
0.2749840664 3
 
0.5%
0.2259857136 3
 
0.5%
0.6370948824 2
 
0.3%
0.2945733693 2
 
0.3%
0.5006713986 2
 
0.3%
0.545924731 2
 
0.3%
0.522634762 2
 
0.3%
0.5239278287 2
 
0.3%
Other values (534) 559
95.9%
ValueCountFrequency (%)
0.1958427168 1
0.2%
0.1978008056 1
0.2%
0.2160237161 1
0.2%
0.2191709539 1
0.2%
0.2224870496 1
0.2%
ValueCountFrequency (%)
0.9319272322 1
0.2%
0.8874359136 1
0.2%
0.8092275604 1
0.2%
0.8006585294 2
0.3%
0.7890598197 1
0.2%
Distinct545
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67045882
Minimum0.3390673311
Maximum0.9319272322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:08.379647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3390673311
5-th percentile0.4603551506
Q10.6016180636
median0.6829532156
Q30.7528629164
95-th percentile0.824587744
Maximum0.9319272322
Range0.592859901
Interquartile range (IQR)0.1512448529

Descriptive statistics

Standard deviation0.1121223364
Coefficient of variation (CV)0.1672322491
Kurtosis-0.2893877304
Mean0.67045882
Median Absolute Deviation (MAD)0.07560674404
Skewness-0.4825386986
Sum390.8774921
Variance0.01257141832
MonotonicityNot monotonic
2023-02-02T09:40:08.954669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8875907875 2
 
0.3%
0.8100483457 2
 
0.3%
0.8176712106 2
 
0.3%
0.5579429011 2
 
0.3%
0.578580302 2
 
0.3%
0.4990353871 2
 
0.3%
0.7859685593 2
 
0.3%
0.6996930569 2
 
0.3%
0.7625105072 2
 
0.3%
0.7466153185 2
 
0.3%
Other values (535) 563
96.6%
ValueCountFrequency (%)
0.3390673311 1
0.2%
0.3457038375 1
0.2%
0.3703329204 1
0.2%
0.3875239944 1
0.2%
0.3893673622 1
0.2%
ValueCountFrequency (%)
0.9319272322 1
0.2%
0.8875907875 2
0.3%
0.8874359136 1
0.2%
0.884935944 2
0.3%
0.883401528 1
0.2%
Distinct535
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7276979854
Minimum0.4399339908
Maximum0.9319272322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:09.689315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4399339908
5-th percentile0.5545703133
Q10.6625545769
median0.7467996201
Q30.8028877371
95-th percentile0.8584812058
Maximum0.9319272322
Range0.4919932414
Interquartile range (IQR)0.1403331602

Descriptive statistics

Standard deviation0.09601380464
Coefficient of variation (CV)0.131941831
Kurtosis-0.5897843894
Mean0.7276979854
Median Absolute Deviation (MAD)0.06736141399
Skewness-0.4875173181
Sum424.2479255
Variance0.009218650682
MonotonicityNot monotonic
2023-02-02T09:40:10.407892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8425075664 3
 
0.5%
0.8506271448 3
 
0.5%
0.8483389015 3
 
0.5%
0.8875907875 2
 
0.3%
0.6902910647 2
 
0.3%
0.7912864303 2
 
0.3%
0.6269804594 2
 
0.3%
0.8595872235 2
 
0.3%
0.8453128119 2
 
0.3%
0.5572591771 2
 
0.3%
Other values (525) 560
96.1%
ValueCountFrequency (%)
0.4399339908 1
0.2%
0.4639373637 1
0.2%
0.4690894099 1
0.2%
0.4782343149 1
0.2%
0.5004784075 1
0.2%
ValueCountFrequency (%)
0.9319272322 1
0.2%
0.8875907875 2
0.3%
0.8874359136 1
0.2%
0.884935944 2
0.3%
0.883401528 1
0.2%
Distinct529
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7533814151
Minimum0.4690894099
Maximum0.9319272322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:11.093642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4690894099
5-th percentile0.5990789015
Q10.6894884684
median0.7715486528
Q30.8322700811
95-th percentile0.8630743928
Maximum0.9319272322
Range0.4628378223
Interquartile range (IQR)0.1427816127

Descriptive statistics

Standard deviation0.08987493401
Coefficient of variation (CV)0.1192953957
Kurtosis-0.568808668
Mean0.7533814151
Median Absolute Deviation (MAD)0.07015107644
Skewness-0.5685625728
Sum439.221365
Variance0.008077503763
MonotonicityNot monotonic
2023-02-02T09:40:12.125264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8506271448 4
 
0.7%
0.6904461117 4
 
0.7%
0.8552815 4
 
0.7%
0.8483389015 3
 
0.5%
0.8425075664 3
 
0.5%
0.8875907875 2
 
0.3%
0.6028999338 2
 
0.3%
0.8453128119 2
 
0.3%
0.8452167827 2
 
0.3%
0.8359349952 2
 
0.3%
Other values (519) 555
95.2%
ValueCountFrequency (%)
0.4690894099 1
0.2%
0.4782343149 1
0.2%
0.5316665742 1
0.2%
0.5319419892 2
0.3%
0.5336052222 2
0.3%
ValueCountFrequency (%)
0.9319272322 1
0.2%
0.9040489742 1
0.2%
0.8915484766 1
0.2%
0.8881010193 1
0.2%
0.8875907875 2
0.3%
Distinct527
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7626076019
Minimum0.4690894099
Maximum0.9319272322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:12.756984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.4690894099
5-th percentile0.6027574083
Q10.7009615802
median0.7784145967
Q30.8362443209
95-th percentile0.8689462375
Maximum0.9319272322
Range0.4628378223
Interquartile range (IQR)0.1352827407

Descriptive statistics

Standard deviation0.08668503972
Coefficient of variation (CV)0.1136692573
Kurtosis-0.2573392762
Mean0.7626076019
Median Absolute Deviation (MAD)0.06409296969
Skewness-0.669277664
Sum444.6002319
Variance0.007514296112
MonotonicityNot monotonic
2023-02-02T09:40:13.522588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6904461117 4
 
0.7%
0.8506271448 4
 
0.7%
0.8552815 4
 
0.7%
0.8593363998 3
 
0.5%
0.8483389015 3
 
0.5%
0.8425075664 3
 
0.5%
0.8875907875 2
 
0.3%
0.6902910647 2
 
0.3%
0.8215924812 2
 
0.3%
0.7991845502 2
 
0.3%
Other values (517) 554
95.0%
ValueCountFrequency (%)
0.4690894099 1
0.2%
0.4782343149 1
0.2%
0.5319419892 2
0.3%
0.5336052222 2
0.3%
0.537232496 1
0.2%
ValueCountFrequency (%)
0.9319272322 1
0.2%
0.9040489742 1
0.2%
0.8998448833 1
0.2%
0.8932156798 1
0.2%
0.8916820518 1
0.2%
Distinct495
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.612979841
Minimum1.419058225
Maximum5.837702116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:14.372793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.419058225
5-th percentile2.496131207
Q13.11055047
median3.511464732
Q34.023189159
95-th percentile5.10258226
Maximum5.837702116
Range4.418643891
Interquartile range (IQR)0.9126386892

Descriptive statistics

Standard deviation0.7596474168
Coefficient of variation (CV)0.2102550942
Kurtosis-0.09138943917
Mean3.612979841
Median Absolute Deviation (MAD)0.4571207453
Skewness0.4729327579
Sum2106.367248
Variance0.5770641978
MonotonicityNot monotonic
2023-02-02T09:40:15.035701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.443811852 5
 
0.9%
3.253975344 4
 
0.7%
3.482362094 4
 
0.7%
3.63883299 4
 
0.7%
3.241798755 3
 
0.5%
3.091218512 3
 
0.5%
4.798929564 3
 
0.5%
3.039730921 3
 
0.5%
3.344718588 3
 
0.5%
3.664516177 3
 
0.5%
Other values (485) 548
94.0%
ValueCountFrequency (%)
1.419058225 1
0.2%
1.944234353 1
0.2%
2.036709521 1
0.2%
2.091749136 2
0.3%
2.117963175 2
0.3%
ValueCountFrequency (%)
5.837702116 1
0.2%
5.797892904 1
0.2%
5.647274112 1
0.2%
5.484318496 1
0.2%
5.476456002 1
0.2%
Distinct539
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.719430836
Minimum0.3636363636
Maximum5.52972535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:15.688992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3636363636
5-th percentile1.359181738
Q12.068391876
median2.642703652
Q33.228754746
95-th percentile4.449794352
Maximum5.52972535
Range5.166088986
Interquartile range (IQR)1.16036287

Descriptive statistics

Standard deviation0.9381750126
Coefficient of variation (CV)0.3449894736
Kurtosis-0.04417876165
Mean2.719430836
Median Absolute Deviation (MAD)0.5745151133
Skewness0.4214662444
Sum1585.428177
Variance0.8801723543
MonotonicityNot monotonic
2023-02-02T09:40:16.379733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.257446284 3
 
0.5%
4.955601496 3
 
0.5%
3.989786979 3
 
0.5%
4.187357408 3
 
0.5%
3.913597024 3
 
0.5%
3.510844655 2
 
0.3%
2.068188539 2
 
0.3%
2.733614635 2
 
0.3%
2.953371293 2
 
0.3%
3.851138734 2
 
0.3%
Other values (529) 558
95.7%
ValueCountFrequency (%)
0.3636363636 1
0.2%
0.4285714286 1
0.2%
0.6792696432 2
0.3%
0.7132331253 1
0.2%
0.7745077384 1
0.2%
ValueCountFrequency (%)
5.52972535 1
0.2%
5.486389727 1
0.2%
5.143484706 1
0.2%
5.133320829 1
0.2%
5.076133307 1
0.2%
Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.774326955
Minimum0.3396348216
Maximum4.549282678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:17.203941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3396348216
5-th percentile0.7361382776
Q11.181400803
median1.638852296
Q32.167383131
95-th percentile3.411364994
Maximum4.549282678
Range4.209647856
Interquartile range (IQR)0.9859823279

Descriptive statistics

Standard deviation0.8021248714
Coefficient of variation (CV)0.4520727531
Kurtosis0.2797795489
Mean1.774326955
Median Absolute Deviation (MAD)0.4883092406
Skewness0.8002692542
Sum1034.432615
Variance0.6434043092
MonotonicityNot monotonic
2023-02-02T09:40:18.026672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.47548875 3
 
0.5%
1.806098611 3
 
0.5%
1.846881986 3
 
0.5%
1.033985 3
 
0.5%
0.6743380437 3
 
0.5%
0.7505430558 3
 
0.5%
3.017200952 2
 
0.3%
1.543974286 2
 
0.3%
3.288767425 2
 
0.3%
3.789953941 2
 
0.3%
Other values (516) 557
95.5%
ValueCountFrequency (%)
0.3396348216 2
0.3%
0.3636363636 1
0.2%
0.3973463237 2
0.3%
0.4285714286 1
0.2%
0.4377443751 1
0.2%
ValueCountFrequency (%)
4.549282678 1
0.2%
4.479561294 1
0.2%
4.135254862 1
0.2%
4.017232238 1
0.2%
3.953513147 2
0.3%
Distinct523
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.450085284
Minimum0.3377443751
Maximum3.858800962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:19.072219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.3377443751
5-th percentile0.5974545903
Q10.972424844
median1.323211291
Q31.846881986
95-th percentile2.750968327
Maximum3.858800962
Range3.521056587
Interquartile range (IQR)0.8744571419

Descriptive statistics

Standard deviation0.6685381629
Coefficient of variation (CV)0.4610336857
Kurtosis0.003770019235
Mean1.450085284
Median Absolute Deviation (MAD)0.4477225404
Skewness0.7375396119
Sum845.3997205
Variance0.4469432753
MonotonicityNot monotonic
2023-02-02T09:40:20.132910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.674018403 4
 
0.7%
0.7505430558 4
 
0.7%
0.7673183336 4
 
0.7%
0.7581681821 3
 
0.5%
0.3396348216 2
 
0.3%
1.692529256 2
 
0.3%
1.088234122 2
 
0.3%
0.7132331253 2
 
0.3%
0.8754887502 2
 
0.3%
2.485440909 2
 
0.3%
Other values (513) 556
95.4%
ValueCountFrequency (%)
0.3377443751 1
0.2%
0.3396348216 2
0.3%
0.3636363636 1
0.2%
0.3973463237 2
0.3%
0.4168994049 1
0.2%
ValueCountFrequency (%)
3.858800962 1
0.2%
3.674703718 1
0.2%
3.356753009 1
0.2%
3.228701078 2
0.3%
3.204149142 1
0.2%
Distinct517
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.302494175
Minimum0.2735902344
Maximum3.230846475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:21.286416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.2735902344
5-th percentile0.5523794232
Q10.7921850381
median1.17548875
Q31.734080711
95-th percentile2.49857503
Maximum3.230846475
Range2.957256241
Interquartile range (IQR)0.9418956725

Descriptive statistics

Standard deviation0.6035691538
Coefficient of variation (CV)0.4633948969
Kurtosis-0.413077714
Mean1.302494175
Median Absolute Deviation (MAD)0.4249456944
Skewness0.6640588204
Sum759.3541039
Variance0.3642957234
MonotonicityNot monotonic
2023-02-02T09:40:21.960515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7673183336 4
 
0.7%
1.771240625 4
 
0.7%
0.7505430558 4
 
0.7%
0.674018403 4
 
0.7%
0.6734528848 4
 
0.7%
0.6536987905 3
 
0.5%
0.7581681821 3
 
0.5%
0.3396348216 2
 
0.3%
0.7614369446 2
 
0.3%
1.607422873 2
 
0.3%
Other values (507) 551
94.5%
ValueCountFrequency (%)
0.2735902344 1
0.2%
0.2830233553 1
0.2%
0.3165260205 1
0.2%
0.3377443751 1
0.2%
0.3396348216 2
0.3%
ValueCountFrequency (%)
3.230846475 1
0.2%
3.026830263 1
0.2%
2.773600695 1
0.2%
2.745942457 1
0.2%
2.736925695 1
0.2%
Distinct516
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.246460871
Minimum0.2110902344
Maximum2.736925695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:22.670858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.2110902344
5-th percentile0.5153458961
Q10.7734989061
median1.121026724
Q31.670156693
95-th percentile2.309108734
Maximum2.736925695
Range2.52583546
Interquartile range (IQR)0.896657787

Descriptive statistics

Standard deviation0.5649556616
Coefficient of variation (CV)0.4532478112
Kurtosis-0.3731830553
Mean1.246460871
Median Absolute Deviation (MAD)0.3908594465
Skewness0.6588625202
Sum726.6866879
Variance0.3191748995
MonotonicityNot monotonic
2023-02-02T09:40:23.579626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.771240625 4
 
0.7%
0.7505430558 4
 
0.7%
0.674018403 4
 
0.7%
0.6734528848 4
 
0.7%
0.7673183336 4
 
0.7%
0.7581681821 3
 
0.5%
0.6729681549 3
 
0.5%
0.8942356062 3
 
0.5%
0.6536987905 3
 
0.5%
0.3396348216 2
 
0.3%
Other values (506) 549
94.2%
ValueCountFrequency (%)
0.2110902344 1
0.2%
0.275709694 1
0.2%
0.2830233553 1
0.2%
0.3377443751 1
0.2%
0.3396348216 2
0.3%
ValueCountFrequency (%)
2.736925695 1
0.2%
2.722584259 2
0.3%
2.712417424 1
0.2%
2.705378846 1
0.2%
2.700217222 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.57602186
Minimum9.721305147
Maximum43.29050847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:24.316202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9.721305147
5-th percentile12.34085686
Q116.90281912
median20.61945282
Q326.69655603
95-th percentile31.81425899
Maximum43.29050847
Range33.56920332
Interquartile range (IQR)9.793736906

Descriptive statistics

Standard deviation6.22196343
Coefficient of variation (CV)0.2883739862
Kurtosis-0.4081960597
Mean21.57602186
Median Absolute Deviation (MAD)4.555113703
Skewness0.4319321662
Sum12578.82074
Variance38.71282892
MonotonicityNot monotonic
2023-02-02T09:40:24.921284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.37825459 4
 
0.7%
30.10431757 3
 
0.5%
29.20056097 3
 
0.5%
29.97273377 3
 
0.5%
28.17363854 3
 
0.5%
30.51000698 3
 
0.5%
17.54728726 2
 
0.3%
24.20811012 2
 
0.3%
16.66128361 2
 
0.3%
31.54247423 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
9.721305147 1
0.2%
9.81311642 1
0.2%
10.22747332 1
0.2%
10.68211063 1
0.2%
11.20850925 2
0.3%
ValueCountFrequency (%)
43.29050847 1
0.2%
39.90341594 2
0.3%
39.26641905 1
0.2%
38.813499 1
0.2%
37.12531593 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.64567094
Minimum14.4235753
Maximum48.79615694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:25.799831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.4235753
5-th percentile18.98736275
Q125.17381243
median30.87153934
Q335.76510664
95-th percentile41.40237957
Maximum48.79615694
Range34.37258164
Interquartile range (IQR)10.59129421

Descriptive statistics

Standard deviation6.841483689
Coefficient of variation (CV)0.2232447024
Kurtosis-0.6974265231
Mean30.64567094
Median Absolute Deviation (MAD)5.36502371
Skewness-0.06432930243
Sum17866.42616
Variance46.80589906
MonotonicityNot monotonic
2023-02-02T09:40:26.336497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.9265811 2
 
0.3%
37.52751879 2
 
0.3%
25.12708561 2
 
0.3%
30.69557901 2
 
0.3%
29.8321851 2
 
0.3%
32.59609905 2
 
0.3%
23.17582369 2
 
0.3%
37.44610422 2
 
0.3%
36.53749949 2
 
0.3%
28.41643884 2
 
0.3%
Other values (558) 563
96.6%
ValueCountFrequency (%)
14.4235753 1
0.2%
15.66307726 1
0.2%
15.91548112 1
0.2%
15.97724842 1
0.2%
16.19247888 2
0.3%
ValueCountFrequency (%)
48.79615694 1
0.2%
48.57979814 1
0.2%
45.67338267 1
0.2%
45.42832986 1
0.2%
45.04995757 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.92095898
Minimum18.54317447
Maximum53.55196896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:27.117529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18.54317447
5-th percentile22.70816979
Q128.10861747
median33.92605673
Q339.43318213
95-th percentile46.45222689
Maximum53.55196896
Range35.00879449
Interquartile range (IQR)11.32456467

Descriptive statistics

Standard deviation7.146801764
Coefficient of variation (CV)0.2106898502
Kurtosis-0.6733675019
Mean33.92095898
Median Absolute Deviation (MAD)5.732160429
Skewness0.1704801467
Sum19775.91908
Variance51.07677545
MonotonicityNot monotonic
2023-02-02T09:40:27.706167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.94667954 2
 
0.3%
23.72142981 2
 
0.3%
25.81069643 2
 
0.3%
33.04176344 2
 
0.3%
35.91084005 2
 
0.3%
39.70424906 2
 
0.3%
38.02801814 2
 
0.3%
36.42510244 2
 
0.3%
39.75008603 2
 
0.3%
28.04176945 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
18.54317447 1
0.2%
19.50478652 1
0.2%
19.79473418 1
0.2%
20.70649961 1
0.2%
20.71741217 1
0.2%
ValueCountFrequency (%)
53.55196896 1
0.2%
51.23642436 1
0.2%
50.76561061 1
0.2%
50.00762112 1
0.2%
49.87296734 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.18336222
Minimum21.12075917
Maximum59.77871696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:28.309512image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum21.12075917
5-th percentile24.58029768
Q129.90025503
median34.70342475
Q339.92288603
95-th percentile48.60752721
Maximum59.77871696
Range38.65795778
Interquartile range (IQR)10.022631

Descriptive statistics

Standard deviation7.168893057
Coefficient of variation (CV)0.2037580437
Kurtosis-0.1490525684
Mean35.18336222
Median Absolute Deviation (MAD)4.989297825
Skewness0.4555440583
Sum20511.90017
Variance51.39302766
MonotonicityNot monotonic
2023-02-02T09:40:28.945111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.86905381 2
 
0.3%
27.74616168 2
 
0.3%
37.89354463 2
 
0.3%
30.11217767 2
 
0.3%
33.99863192 2
 
0.3%
39.88752179 2
 
0.3%
38.09521814 2
 
0.3%
40.74025958 2
 
0.3%
42.40160188 2
 
0.3%
33.95519557 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
21.12075917 1
0.2%
21.81893826 1
0.2%
22.00088659 1
0.2%
22.1624597 1
0.2%
22.46464301 1
0.2%
ValueCountFrequency (%)
59.77871696 1
0.2%
55.81035959 1
0.2%
55.57366879 1
0.2%
54.38315182 1
0.2%
54.18767045 1
0.2%
Distinct564
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.61246775
Minimum21.12075917
Maximum63.32120138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:29.916626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum21.12075917
5-th percentile25.26835551
Q130.71650696
median34.93660665
Q340.16656476
95-th percentile48.63367044
Maximum63.32120138
Range42.20044221
Interquartile range (IQR)9.450057802

Descriptive statistics

Standard deviation7.096978814
Coefficient of variation (CV)0.1992835448
Kurtosis0.4119267693
Mean35.61246775
Median Absolute Deviation (MAD)4.764634755
Skewness0.600317443
Sum20762.0687
Variance50.36710828
MonotonicityNot monotonic
2023-02-02T09:40:30.553968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.25062587 2
 
0.3%
30.05457736 2
 
0.3%
27.82671057 2
 
0.3%
39.92288603 2
 
0.3%
42.40160188 2
 
0.3%
38.09521814 2
 
0.3%
39.88752179 2
 
0.3%
38.69616686 2
 
0.3%
42.56595445 2
 
0.3%
34.1102725 2
 
0.3%
Other values (554) 563
96.6%
ValueCountFrequency (%)
21.12075917 1
0.2%
21.81893826 1
0.2%
22.1624597 1
0.2%
22.46464301 1
0.2%
22.61246039 1
0.2%
ValueCountFrequency (%)
63.32120138 1
0.2%
60.61362879 1
0.2%
60.09817045 1
0.2%
58.56764305 1
0.2%
56.59515182 1
0.2%
Distinct563
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.83157318
Minimum21.12075917
Maximum63.32120138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:31.160286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum21.12075917
5-th percentile25.5740812
Q130.99057022
median35.01715648
Q340.32092878
95-th percentile48.63367044
Maximum63.32120138
Range42.20044221
Interquartile range (IQR)9.330358565

Descriptive statistics

Standard deviation7.053318919
Coefficient of variation (CV)0.1968464762
Kurtosis0.5643785602
Mean35.83157318
Median Absolute Deviation (MAD)4.608202381
Skewness0.6123657509
Sum20889.80717
Variance49.74930778
MonotonicityNot monotonic
2023-02-02T09:40:31.755511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.71923499 2
 
0.3%
30.05457736 2
 
0.3%
29.65341 2
 
0.3%
39.92288603 2
 
0.3%
42.40160188 2
 
0.3%
38.09521814 2
 
0.3%
39.88752179 2
 
0.3%
38.78576686 2
 
0.3%
34.1102725 2
 
0.3%
42.56595445 2
 
0.3%
Other values (553) 563
96.6%
ValueCountFrequency (%)
21.12075917 1
0.2%
21.81893826 1
0.2%
22.1624597 1
0.2%
22.46464301 1
0.2%
22.61246039 1
0.2%
ValueCountFrequency (%)
63.32120138 1
0.2%
62.13346879 1
0.2%
61.82526136 1
0.2%
58.56764305 1
0.2%
57.35630608 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.58302249
Minimum20.36313757
Maximum307.9448626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:32.396710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum20.36313757
5-th percentile35.63030899
Q154.22301103
median74.52658997
Q391.60863322
95-th percentile126.8096358
Maximum307.9448626
Range287.581725
Interquartile range (IQR)37.38562219

Descriptive statistics

Standard deviation32.76800716
Coefficient of variation (CV)0.4278756061
Kurtosis10.98820589
Mean76.58302249
Median Absolute Deviation (MAD)18.81990398
Skewness2.238671383
Sum44647.90211
Variance1073.742293
MonotonicityNot monotonic
2023-02-02T09:40:32.898835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.70869653 4
 
0.7%
81.71703332 3
 
0.5%
84.14701618 3
 
0.5%
75.05311383 3
 
0.5%
80.04332896 3
 
0.5%
83.55998291 3
 
0.5%
60.91742788 2
 
0.3%
61.76180331 2
 
0.3%
74.55661021 2
 
0.3%
81.21965141 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
20.36313757 1
0.2%
22.65382887 1
0.2%
23.60608747 2
0.3%
25.09187546 1
0.2%
26.13121743 1
0.2%
ValueCountFrequency (%)
307.9448626 1
0.2%
278.8564876 1
0.2%
277.4769708 1
0.2%
257.3460159 1
0.2%
253.924905 1
0.2%
Distinct568
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.22509961
Minimum14.97405469
Maximum214.740788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:33.477612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.97405469
5-th percentile23.8802493
Q136.00234329
median51.08476807
Q365.87285724
95-th percentile98.35234395
Maximum214.740788
Range199.7667333
Interquartile range (IQR)29.87051395

Descriptive statistics

Standard deviation26.33349805
Coefficient of variation (CV)0.4768393037
Kurtosis6.772931841
Mean55.22509961
Median Absolute Deviation (MAD)14.99902139
Skewness1.85871558
Sum32196.23307
Variance693.4531195
MonotonicityNot monotonic
2023-02-02T09:40:34.117811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.24753979 2
 
0.3%
36.1234556 2
 
0.3%
74.20413358 2
 
0.3%
30.53621603 2
 
0.3%
32.77392785 2
 
0.3%
46.05485126 2
 
0.3%
87.86201698 2
 
0.3%
36.00234329 2
 
0.3%
45.66525886 2
 
0.3%
84.04432373 2
 
0.3%
Other values (558) 563
96.6%
ValueCountFrequency (%)
14.97405469 1
0.2%
16.1214998 1
0.2%
16.34035209 1
0.2%
18.08678137 1
0.2%
18.45684807 1
0.2%
ValueCountFrequency (%)
214.740788 1
0.2%
203.9353151 1
0.2%
195.6026424 1
0.2%
187.2007378 1
0.2%
186.5878062 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.88023855
Minimum14.50077821
Maximum181.9581674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:34.978417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.50077821
5-th percentile22.0336419
Q130.97268043
median43.10573242
Q359.04172655
95-th percentile82.50757083
Maximum181.9581674
Range167.4573892
Interquartile range (IQR)28.06904613

Descriptive statistics

Standard deviation21.82267144
Coefficient of variation (CV)0.465498302
Kurtosis8.235685311
Mean46.88023855
Median Absolute Deviation (MAD)13.56571365
Skewness2.006985564
Sum27331.17908
Variance476.2289889
MonotonicityNot monotonic
2023-02-02T09:40:35.611483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.68943562 2
 
0.3%
63.77006249 2
 
0.3%
78.75703298 2
 
0.3%
25.9150096 2
 
0.3%
37.48908386 2
 
0.3%
30.97268043 2
 
0.3%
42.05993353 2
 
0.3%
28.60531426 2
 
0.3%
30.68361711 2
 
0.3%
64.87261824 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
14.50077821 1
0.2%
15.11361806 1
0.2%
15.47000903 1
0.2%
17.3099 1
0.2%
17.4739623 1
0.2%
ValueCountFrequency (%)
181.9581674 1
0.2%
174.3657822 1
0.2%
172.6144643 1
0.2%
166.7912906 1
0.2%
166.5216041 1
0.2%
Distinct571
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.69633764
Minimum14.50077821
Maximum160.3057427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:36.401276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.50077821
5-th percentile21.22009722
Q128.93934534
median39.16809997
Q355.2171042
95-th percentile71.02461645
Maximum160.3057427
Range145.8049644
Interquartile range (IQR)26.27775886

Descriptive statistics

Standard deviation19.3219638
Coefficient of variation (CV)0.4525438214
Kurtosis9.664426461
Mean42.69633764
Median Absolute Deviation (MAD)12.89449007
Skewness2.119454148
Sum24891.96485
Variance373.338285
MonotonicityNot monotonic
2023-02-02T09:40:37.309362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.2464514 2
 
0.3%
70.73969399 2
 
0.3%
31.98522353 2
 
0.3%
57.14330604 2
 
0.3%
23.26758968 2
 
0.3%
30.292561 2
 
0.3%
41.86614082 2
 
0.3%
42.04749427 2
 
0.3%
53.76435918 2
 
0.3%
23.56150616 2
 
0.3%
Other values (561) 563
96.6%
ValueCountFrequency (%)
14.50077821 1
0.2%
15.11361806 1
0.2%
15.47000903 1
0.2%
16.10238125 1
0.2%
16.54281454 1
0.2%
ValueCountFrequency (%)
160.3057427 1
0.2%
160.0133868 1
0.2%
159.7073091 1
0.2%
158.5533588 1
0.2%
157.4819619 1
0.2%
Distinct564
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.94558216
Minimum14.50077821
Maximum153.4071396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:37.909300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.50077821
5-th percentile20.09892429
Q128.13392114
median37.40694759
Q352.76779763
95-th percentile69.20529776
Maximum153.4071396
Range138.9063613
Interquartile range (IQR)24.6338765

Descriptive statistics

Standard deviation18.1972269
Coefficient of variation (CV)0.4444246716
Kurtosis9.761996384
Mean40.94558216
Median Absolute Deviation (MAD)11.69544554
Skewness2.125362554
Sum23871.2744
Variance331.139067
MonotonicityNot monotonic
2023-02-02T09:40:38.442445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.40914844 2
 
0.3%
28.50747822 2
 
0.3%
48.3296546 2
 
0.3%
30.01810767 2
 
0.3%
53.76435918 2
 
0.3%
41.86614082 2
 
0.3%
30.292561 2
 
0.3%
29.55019329 2
 
0.3%
55.14109279 2
 
0.3%
22.77668783 2
 
0.3%
Other values (554) 563
96.6%
ValueCountFrequency (%)
14.50077821 1
0.2%
15.11361806 1
0.2%
15.47000903 1
0.2%
15.49192821 1
0.2%
16.05665712 1
0.2%
ValueCountFrequency (%)
153.4071396 1
0.2%
152.1142495 1
0.2%
150.2568907 1
0.2%
149.9914575 1
0.2%
149.091724 1
0.2%
Distinct563
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.9353526
Minimum14.50077821
Maximum126.2859923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:39.159037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.50077821
5-th percentile20.03225702
Q127.64203233
median36.96524361
Q350.40793292
95-th percentile67.61361255
Maximum126.2859923
Range111.7852141
Interquartile range (IQR)22.76590058

Descriptive statistics

Standard deviation16.54456852
Coefficient of variation (CV)0.4142837722
Kurtosis3.773844134
Mean39.9353526
Median Absolute Deviation (MAD)10.73478643
Skewness1.376877676
Sum23282.31056
Variance273.7227474
MonotonicityNot monotonic
2023-02-02T09:40:39.767776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.50350938 2
 
0.3%
28.50747822 2
 
0.3%
41.13959786 2
 
0.3%
30.01810767 2
 
0.3%
53.76435918 2
 
0.3%
41.86614082 2
 
0.3%
30.292561 2
 
0.3%
29.10719718 2
 
0.3%
22.77668783 2
 
0.3%
55.14109279 2
 
0.3%
Other values (553) 563
96.6%
ValueCountFrequency (%)
14.50077821 1
0.2%
15.11361806 1
0.2%
15.47000903 1
0.2%
15.49192821 1
0.2%
16.05665712 1
0.2%
ValueCountFrequency (%)
126.2859923 1
0.2%
124.6677251 1
0.2%
119.3902151 1
0.2%
118.1678642 1
0.2%
117.8909298 1
0.2%

kappa shape index 1
Real number (ℝ)

Distinct97
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.43354487
Minimum7
Maximum77.24456747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:40.518146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11
Q116
median22
Q327
95-th percentile36.91927424
Maximum77.24456747
Range70.24456747
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.672178852
Coefficient of variation (CV)0.3865719352
Kurtosis5.640848957
Mean22.43354487
Median Absolute Deviation (MAD)5.221172023
Skewness1.539156029
Sum13078.75666
Variance75.20668605
MonotonicityNot monotonic
2023-02-02T09:40:41.183464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 24
 
4.1%
16 24
 
4.1%
15 20
 
3.4%
25 20
 
3.4%
27 19
 
3.3%
24 18
 
3.1%
24.255 17
 
2.9%
14 16
 
2.7%
28 15
 
2.6%
26 15
 
2.6%
Other values (87) 395
67.8%
ValueCountFrequency (%)
7 2
 
0.3%
8 3
0.5%
9 5
0.9%
9.375 2
 
0.3%
10 5
0.9%
ValueCountFrequency (%)
77.24456747 1
0.2%
67.50493097 2
0.3%
61.5462963 1
0.2%
60.55385836 1
0.2%
50.10964083 2
0.3%

kappa shape index 2
Real number (ℝ)

Distinct274
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.48367261
Minimum3
Maximum34.20249836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:41.875259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.797560085
Q17.35
median9.087346939
Q311.82587619
95-th percentile22.47908093
Maximum34.20249836
Range31.20249836
Interquartile range (IQR)4.47587619

Descriptive statistics

Standard deviation5.113266658
Coefficient of variation (CV)0.4877362014
Kurtosis3.205401507
Mean10.48367261
Median Absolute Deviation (MAD)2.036565689
Skewness1.693275828
Sum6111.981135
Variance26.14549592
MonotonicityNot monotonic
2023-02-02T09:40:42.471189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.792243767 10
 
1.7%
8.131482834 9
 
1.5%
9.972299169 9
 
1.5%
9.796296296 9
 
1.5%
8.144044321 8
 
1.4%
9.087346939 7
 
1.2%
6.55401662 7
 
1.2%
4.792899408 7
 
1.2%
8.186851211 7
 
1.2%
6.453333333 6
 
1.0%
Other values (264) 504
86.4%
ValueCountFrequency (%)
3 1
0.2%
3.06122449 2
0.3%
3.239669421 1
0.2%
3.6 1
0.2%
3.7856 1
0.2%
ValueCountFrequency (%)
34.20249836 1
0.2%
33.20775623 1
0.2%
32.32990806 1
0.2%
28.56995116 2
0.3%
28.52587745 1
0.2%

Filter-itâ„¢ LogS
Real number (ℝ)

Distinct554
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.629241571
Minimum-23.99514492
Maximum1.055760736
Zeros0
Zeros (%)0.0%
Negative575
Negative (%)98.6%
Memory size4.7 KiB
2023-02-02T09:40:43.034040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-23.99514492
5-th percentile-10.02266407
Q1-6.107411791
median-3.998902669
Q3-2.706941723
95-th percentile-0.8722588357
Maximum1.055760736
Range25.05090566
Interquartile range (IQR)3.400470068

Descriptive statistics

Standard deviation3.008168399
Coefficient of variation (CV)-0.6498188424
Kurtosis5.09267303
Mean-4.629241571
Median Absolute Deviation (MAD)1.612674132
Skewness-1.584058108
Sum-2698.847836
Variance9.049077117
MonotonicityNot monotonic
2023-02-02T09:40:43.631799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.695441524 3
 
0.5%
-5.087377649 3
 
0.5%
-4.84727765 2
 
0.3%
-9.94451599 2
 
0.3%
-2.840405761 2
 
0.3%
-3.446308922 2
 
0.3%
-2.617138259 2
 
0.3%
-3.098075544 2
 
0.3%
-3.576638003 2
 
0.3%
-4.684354892 2
 
0.3%
Other values (544) 561
96.2%
ValueCountFrequency (%)
-23.99514492 1
0.2%
-19.52927517 1
0.2%
-18.59877317 1
0.2%
-16.32747498 1
0.2%
-15.94840308 1
0.2%
ValueCountFrequency (%)
1.055760736 1
0.2%
0.6641952184 1
0.2%
0.6172979181 1
0.2%
0.581368508 1
0.2%
0.4834079181 1
0.2%

McGowan volume
Real number (ℝ)

Distinct528
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.8303602
Minimum77.41
Maximum800.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:44.189367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum77.41
5-th percentile119.048
Q1179.805
median227.73
Q3276.975
95-th percentile415.162
Maximum800.23
Range722.82
Interquartile range (IQR)97.17

Descriptive statistics

Standard deviation94.79837434
Coefficient of variation (CV)0.3903893
Kurtosis3.838945489
Mean242.8303602
Median Absolute Deviation (MAD)48.26
Skewness1.450912313
Sum141570.1
Variance8986.731778
MonotonicityNot monotonic
2023-02-02T09:40:44.730450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263.41 4
 
0.7%
221.14 3
 
0.5%
239.84 3
 
0.5%
230.24 3
 
0.5%
249.32 3
 
0.5%
151.67 2
 
0.3%
244.63 2
 
0.3%
147.18 2
 
0.3%
257.67 2
 
0.3%
225.75 2
 
0.3%
Other values (518) 557
95.5%
ValueCountFrequency (%)
77.41 1
0.2%
81.41 1
0.2%
83.17 1
0.2%
85.12 1
0.2%
88.46 1
0.2%
ValueCountFrequency (%)
800.23 1
0.2%
663.94 1
0.2%
663.75 1
0.2%
597.96 1
0.2%
587.48 1
0.2%
Distinct539
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.9913487
Minimum36.77061296
Maximum466.2525655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:45.290967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum36.77061296
5-th percentile62.63030891
Q194.57580247
median124.3341085
Q3151.4755915
95-th percentile212.3316611
Maximum466.2525655
Range429.4819526
Interquartile range (IQR)56.899789

Descriptive statistics

Standard deviation50.43688161
Coefficient of variation (CV)0.3910098013
Kurtosis7.568213387
Mean128.9913487
Median Absolute Deviation (MAD)28.51690852
Skewness1.796634023
Sum75201.95627
Variance2543.879027
MonotonicityNot monotonic
2023-02-02T09:40:45.839880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.0639928 3
 
0.5%
139.9052068 3
 
0.5%
186.9695756 2
 
0.3%
152.6350911 2
 
0.3%
144.7537377 2
 
0.3%
133.2819766 2
 
0.3%
110.1817486 2
 
0.3%
165.3226132 2
 
0.3%
190.7823816 2
 
0.3%
159.0000332 2
 
0.3%
Other values (529) 561
96.2%
ValueCountFrequency (%)
36.77061296 1
0.2%
40.85116297 1
0.2%
41.55293294 1
0.2%
43.13555507 2
0.3%
45.17724024 1
0.2%
ValueCountFrequency (%)
466.2525655 1
0.2%
412.0252266 1
0.2%
411.8093006 1
0.2%
373.6196479 1
0.2%
367.2547058 1
0.2%
Distinct86
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.72376108
Minimum0
Maximum60.68959987
Zeros47
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:46.402063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.552749874
median10.52378311
Q317.43000754
95-th percentile26.73636148
Maximum60.68959987
Range60.68959987
Interquartile range (IQR)12.87725766

Descriptive statistics

Standard deviation9.733173893
Coefficient of variation (CV)0.7649604413
Kurtosis4.207464443
Mean12.72376108
Median Absolute Deviation (MAD)6.396381985
Skewness1.501787412
Sum7417.952711
Variance94.73467403
MonotonicityNot monotonic
2023-02-02T09:40:46.947104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.127401125 61
 
10.5%
4.552749874 52
 
8.9%
0 47
 
8.1%
8.610431983 38
 
6.5%
9.035780731 34
 
5.8%
12.40703316 33
 
5.7%
4.483030858 22
 
3.8%
22.16687049 21
 
3.6%
16.98145085 18
 
3.1%
17.26263557 17
 
2.9%
Other values (76) 240
41.2%
ValueCountFrequency (%)
0 47
8.1%
4.127401125 61
10.5%
4.483030858 22
 
3.8%
4.552749874 52
8.9%
4.736862954 2
 
0.3%
ValueCountFrequency (%)
60.68959987 4
0.7%
56.20656901 1
 
0.2%
45.54502734 2
0.3%
45.12814847 1
 
0.2%
44.71126959 2
0.3%
Distinct11
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7695100685
Minimum0
Maximum14.37534532
Zeros497
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:47.736351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.899909731
Maximum14.37534532
Range14.37534532
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.034704522
Coefficient of variation (CV)2.644155815
Kurtosis14.12307892
Mean0.7695100685
Median Absolute Deviation (MAD)0
Skewness3.291951199
Sum448.6243699
Variance4.140022493
MonotonicityNot monotonic
2023-02-02T09:40:48.104908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 497
85.2%
4.183085433 26
 
4.5%
4.899909731 13
 
2.2%
4.794537184 13
 
2.2%
5.316788604 13
 
2.2%
4.483030858 7
 
1.2%
4.552749874 6
 
1.0%
14.37534532 4
 
0.7%
4.565048285 2
 
0.3%
9.589074368 1
 
0.2%
ValueCountFrequency (%)
0 497
85.2%
4.183085433 26
 
4.5%
4.483030858 7
 
1.2%
4.552749874 6
 
1.0%
4.565048285 2
 
0.3%
ValueCountFrequency (%)
14.37534532 4
 
0.7%
9.799819462 1
 
0.2%
9.589074368 1
 
0.2%
5.316788604 13
2.2%
4.899909731 13
2.2%
Distinct31
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.475036402
Minimum0
Maximum30.18176551
Zeros162
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:48.645563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.780830095
Q316.83559397
95-th percentile22.30544444
Maximum30.18176551
Range30.18176551
Interquartile range (IQR)16.83559397

Descriptive statistics

Standard deviation7.78636048
Coefficient of variation (CV)0.821776313
Kurtosis-0.9129793046
Mean9.475036402
Median Absolute Deviation (MAD)8.054763873
Skewness0.3254867205
Sum5523.946222
Variance60.62740953
MonotonicityNot monotonic
2023-02-02T09:40:49.083257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 162
27.8%
16.83559397 84
14.4%
9.134199296 78
13.4%
8.417796984 50
 
8.6%
17.55199628 38
 
6.5%
8.780830095 27
 
4.6%
25.96979326 23
 
3.9%
4.567099648 22
 
3.8%
21.40269362 12
 
2.1%
12.98489663 10
 
1.7%
Other values (21) 77
13.2%
ValueCountFrequency (%)
0 162
27.8%
4.567099648 22
 
3.8%
4.722094864 8
 
1.4%
4.794537184 9
 
1.5%
4.992404733 8
 
1.4%
ValueCountFrequency (%)
30.18176551 1
 
0.2%
27.15327915 1
 
0.2%
25.96979326 23
3.9%
24.91987396 1
 
0.2%
23.6283824 2
 
0.3%
Distinct22
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.29020148
Minimum0
Maximum127.2211742
Zeros331
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:49.536853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q326.34249029
95-th percentile39.51373543
Maximum127.2211742
Range127.2211742
Interquartile range (IQR)26.34249029

Descriptive statistics

Standard deviation19.24793644
Coefficient of variation (CV)1.566120496
Kurtosis10.71570256
Mean12.29020148
Median Absolute Deviation (MAD)0
Skewness2.641133452
Sum7165.187465
Variance370.4830573
MonotonicityNot monotonic
2023-02-02T09:40:50.025290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 331
56.8%
26.34249029 93
 
16.0%
13.17124514 52
 
8.9%
39.51373543 22
 
3.8%
21.95207524 14
 
2.4%
30.73290533 12
 
2.1%
5.261891555 11
 
1.9%
34.76028727 9
 
1.5%
43.90415048 8
 
1.4%
127.2211742 5
 
0.9%
Other values (12) 26
 
4.5%
ValueCountFrequency (%)
0 331
56.8%
4.567099648 3
 
0.5%
5.261891555 11
 
1.9%
9.828991203 3
 
0.5%
10.52378311 1
 
0.2%
ValueCountFrequency (%)
127.2211742 5
0.9%
83.41788591 2
 
0.3%
79.02747086 3
0.5%
74.63705581 3
0.5%
65.85622572 2
 
0.3%
Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.612328971
Minimum0
Maximum23.87429233
Zeros543
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:50.435708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.652259413
Maximum23.87429233
Range23.87429233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.496740717
Coefficient of variation (CV)4.077449925
Kurtosis31.47490479
Mean0.612328971
Median Absolute Deviation (MAD)0
Skewness5.03634428
Sum356.9877901
Variance6.233714209
MonotonicityNot monotonic
2023-02-02T09:40:50.872018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 543
93.1%
7.771517605 11
 
1.9%
4.681802935 8
 
1.4%
10.2431403 7
 
1.2%
9.36360587 7
 
1.2%
11.60093989 2
 
0.3%
23.87429233 2
 
0.3%
12.84669979 1
 
0.2%
6.423349896 1
 
0.2%
6.578935684 1
 
0.2%
ValueCountFrequency (%)
0 543
93.1%
4.681802935 8
 
1.4%
6.423349896 1
 
0.2%
6.578935684 1
 
0.2%
7.771517605 11
 
1.9%
ValueCountFrequency (%)
23.87429233 2
 
0.3%
12.84669979 1
 
0.2%
11.60093989 2
 
0.3%
10.2431403 7
1.2%
9.36360587 7
1.2%
Distinct103
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.54570011
Minimum0
Maximum174.8709305
Zeros205
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:51.410726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.34455882
Q337.46156607
95-th percentile96.81523992
Maximum174.8709305
Range174.8709305
Interquartile range (IQR)37.46156607

Descriptive statistics

Standard deviation31.67491977
Coefficient of variation (CV)1.290446784
Kurtosis2.239867784
Mean24.54570011
Median Absolute Deviation (MAD)13.34455882
Skewness1.610626075
Sum14310.14317
Variance1003.300542
MonotonicityNot monotonic
2023-02-02T09:40:52.000905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 205
35.2%
13.34455882 74
 
12.7%
6.9237372 39
 
6.7%
19.76538045 18
 
3.1%
53.37823529 15
 
2.6%
32.60702369 12
 
2.1%
13.8474744 11
 
1.9%
26.68911765 10
 
1.7%
20.26829602 9
 
1.5%
97.82107107 8
 
1.4%
Other values (93) 182
31.2%
ValueCountFrequency (%)
0 205
35.2%
5.401253297 1
 
0.2%
6.066367068 5
 
0.9%
6.076020107 1
 
0.2%
6.578935684 2
 
0.3%
ValueCountFrequency (%)
174.8709305 1
 
0.2%
156.1113813 1
 
0.2%
146.3520076 1
 
0.2%
130.4280948 3
0.5%
129.4222636 1
 
0.2%
Distinct78
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.77679879
Minimum0
Maximum62.79039801
Zeros99
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:52.570597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.420821623
median12.84164325
Q324.97437738
95-th percentile44.92515201
Maximum62.79039801
Range62.79039801
Interquartile range (IQR)18.55355576

Descriptive statistics

Standard deviation13.97881656
Coefficient of variation (CV)0.8860363085
Kurtosis0.3780868464
Mean15.77679879
Median Absolute Deviation (MAD)6.569282645
Skewness1.022512578
Sum9197.873694
Variance195.4073124
MonotonicityNot monotonic
2023-02-02T09:40:53.120475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
17.0%
6.420821623 87
14.9%
12.84164325 67
 
11.5%
6.9237372 57
 
9.8%
25.68328649 22
 
3.8%
51.36657298 20
 
3.4%
20.7712116 19
 
3.3%
19.26246487 18
 
3.1%
13.8474744 12
 
2.1%
32.10410811 11
 
1.9%
Other values (68) 171
29.3%
ValueCountFrequency (%)
0 99
17.0%
5.098681808 2
 
0.3%
5.563451492 2
 
0.3%
5.917906046 1
 
0.2%
5.920434319 1
 
0.2%
ValueCountFrequency (%)
62.79039801 1
 
0.2%
57.58140107 1
 
0.2%
56.93002448 1
 
0.2%
52.66932618 1
 
0.2%
51.36657298 20
3.4%
Distinct44
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2140601
Minimum0
Maximum30.93986795
Zeros333
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:53.718242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.18335444
95-th percentile19.06876604
Maximum30.93986795
Range30.93986795
Interquartile range (IQR)10.18335444

Descriptive statistics

Standard deviation7.089373075
Coefficient of variation (CV)1.359664626
Kurtosis0.5076896125
Mean5.2140601
Median Absolute Deviation (MAD)0
Skewness1.191760456
Sum3039.797038
Variance50.25921059
MonotonicityNot monotonic
2023-02-02T09:40:54.260426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 333
57.1%
12.84164325 49
 
8.4%
7.262479191 24
 
4.1%
7.109797541 24
 
4.1%
18.55355576 18
 
3.1%
6.9237372 17
 
2.9%
6.420821623 10
 
1.7%
18.05064018 10
 
1.7%
5.752853607 7
 
1.2%
5.917906046 6
 
1.0%
Other values (34) 85
 
14.6%
ValueCountFrequency (%)
0 333
57.1%
5.563451492 3
 
0.5%
5.752853607 7
 
1.2%
5.880003445 1
 
0.2%
5.917906046 6
 
1.0%
ValueCountFrequency (%)
30.93986795 1
 
0.2%
28.43919017 1
 
0.2%
27.256956 3
0.5%
25.35318161 3
0.5%
25.22795544 5
0.9%
Distinct103
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.4725306
Minimum0
Maximum71.18955313
Zeros46
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:54.813517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.24762687
median20.19931035
Q326.6819412
95-th percentile33.40064917
Maximum71.18955313
Range71.18955313
Interquartile range (IQR)13.43431433

Descriptive statistics

Standard deviation10.55512223
Coefficient of variation (CV)0.542051901
Kurtosis1.265831747
Mean19.4725306
Median Absolute Deviation (MAD)6.606881965
Skewness0.3356046473
Sum11352.48534
Variance111.4106052
MonotonicityNot monotonic
2023-02-02T09:40:55.354018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.59242839 93
16.0%
26.6819412 55
 
9.4%
0 46
 
7.9%
26.17902562 43
 
7.4%
24.64764011 24
 
4.1%
26.74406676 23
 
3.9%
13.08951281 23
 
3.9%
27.18485678 19
 
3.3%
6.544756406 15
 
2.6%
14.09534397 11
 
1.9%
Other values (93) 231
39.6%
ValueCountFrequency (%)
0 46
7.9%
4.895483476 4
 
0.7%
5.213385096 5
 
0.9%
5.601050811 1
 
0.2%
5.969305288 2
 
0.3%
ValueCountFrequency (%)
71.18955313 1
 
0.2%
58.10004032 3
0.5%
54.49396467 1
 
0.2%
53.73663575 1
 
0.2%
47.23143908 1
 
0.2%
Distinct44
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.70122625
Minimum0
Maximum36.80955269
Zeros250
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:55.921226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.544756406
Q312.39368714
95-th percentile18.93844355
Maximum36.80955269
Range36.80955269
Interquartile range (IQR)12.39368714

Descriptive statistics

Standard deviation6.94884115
Coefficient of variation (CV)1.036950685
Kurtosis0.3431743381
Mean6.70122625
Median Absolute Deviation (MAD)6.544756406
Skewness0.7772560563
Sum3906.814904
Variance48.28639333
MonotonicityNot monotonic
2023-02-02T09:40:56.442220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 250
42.9%
12.39368714 121
20.8%
6.544756406 71
 
12.2%
13.08951281 17
 
2.9%
6.19995489 12
 
2.1%
18.93844355 10
 
1.7%
13.15163837 8
 
1.4%
6.069221313 7
 
1.2%
10.11812686 6
 
1.0%
7.047671983 6
 
1.0%
Other values (34) 75
 
12.9%
ValueCountFrequency (%)
0 250
42.9%
5.601050811 1
 
0.2%
5.687386275 3
 
0.5%
5.752853607 1
 
0.2%
5.969305288 5
 
0.9%
ValueCountFrequency (%)
36.80955269 2
 
0.3%
28.48063878 2
 
0.3%
26.17902562 1
 
0.2%
24.41586555 5
0.9%
23.71055525 2
 
0.3%
Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.661275453
Minimum0
Maximum34.73303273
Zeros332
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:56.935213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.39368714
95-th percentile22.26529083
Maximum34.73303273
Range34.73303273
Interquartile range (IQR)12.39368714

Descriptive statistics

Standard deviation9.007930967
Coefficient of variation (CV)1.352283212
Kurtosis0.09861930788
Mean6.661275453
Median Absolute Deviation (MAD)0
Skewness1.105260626
Sum3883.523589
Variance81.14282031
MonotonicityNot monotonic
2023-02-02T09:40:57.370786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 332
56.9%
20.04658231 87
 
14.9%
10.11812686 41
 
7.0%
12.39368714 28
 
4.8%
6.730816747 21
 
3.6%
6.338535363 10
 
1.7%
6.544756406 9
 
1.5%
32.44026945 8
 
1.4%
6.041840829 7
 
1.2%
11.03340144 6
 
1.0%
Other values (14) 34
 
5.8%
ValueCountFrequency (%)
0 332
56.9%
5.760247419 1
 
0.2%
6.041840829 7
 
1.2%
6.338535363 10
 
1.7%
6.347970369 1
 
0.2%
ValueCountFrequency (%)
34.73303273 2
 
0.3%
33.13609512 2
 
0.3%
32.44026945 8
1.4%
31.07998374 1
 
0.2%
26.77739905 3
 
0.5%
Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.580825954
Minimum0
Maximum27.14581162
Zeros402
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:57.817238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.327320075
95-th percentile10.39900058
Maximum27.14581162
Range27.14581162
Interquartile range (IQR)6.327320075

Descriptive statistics

Standard deviation4.523387003
Coefficient of variation (CV)1.752689675
Kurtosis5.932467907
Mean2.580825954
Median Absolute Deviation (MAD)0
Skewness2.198129334
Sum1504.621531
Variance20.46102998
MonotonicityNot monotonic
2023-02-02T09:40:58.213484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 402
69.0%
6.327320075 127
 
21.8%
10.39900058 22
 
3.8%
20.81849155 9
 
1.5%
16.72632066 7
 
1.2%
6.041840829 3
 
0.5%
6.544756406 3
 
0.5%
11.02723999 3
 
0.5%
27.14581162 2
 
0.3%
9.802622862 2
 
0.3%
Other values (2) 3
 
0.5%
ValueCountFrequency (%)
0 402
69.0%
5.759164872 2
 
0.3%
6.041840829 3
 
0.5%
6.327320075 127
 
21.8%
6.544756406 3
 
0.5%
ValueCountFrequency (%)
27.14581162 2
 
0.3%
20.81849155 9
1.5%
16.72632066 7
1.2%
11.56648989 1
 
0.2%
11.02723999 3
 
0.5%
Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6825483522
Minimum0
Maximum23.20313756
Zeros522
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:58.599489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.824404498
Maximum23.20313756
Range23.20313756
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.235478482
Coefficient of variation (CV)3.275194313
Kurtosis36.05594172
Mean0.6825483522
Median Absolute Deviation (MAD)0
Skewness4.86070282
Sum397.9256894
Variance4.997364043
MonotonicityNot monotonic
2023-02-02T09:40:58.983309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 522
89.5%
5.824404498 24
 
4.1%
5.821880937 23
 
3.9%
6.327320075 8
 
1.4%
23.20313756 2
 
0.3%
7.822697123 2
 
0.3%
5.783244946 2
 
0.3%
ValueCountFrequency (%)
0 522
89.5%
5.783244946 2
 
0.3%
5.821880937 23
 
3.9%
5.824404498 24
 
4.1%
6.327320075 8
 
1.4%
ValueCountFrequency (%)
23.20313756 2
 
0.3%
7.822697123 2
 
0.3%
6.327320075 8
 
1.4%
5.824404498 24
4.1%
5.821880937 23
3.9%
Distinct166
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.44957711
Minimum0
Maximum109.9370608
Zeros4
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:40:59.478314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.358476491
Q121.46448171
median29.74853344
Q347.66111511
95-th percentile64.90788183
Maximum109.9370608
Range109.9370608
Interquartile range (IQR)26.1966334

Descriptive statistics

Standard deviation19.43172964
Coefficient of variation (CV)0.5809260183
Kurtosis2.413112931
Mean33.44957711
Median Absolute Deviation (MAD)12.48589787
Skewness1.220000539
Sum19501.10345
Variance377.5921169
MonotonicityNot monotonic
2023-02-02T09:41:00.388432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.66111511 29
 
5.0%
47.7451839 27
 
4.6%
29.74853344 26
 
4.5%
16.97413281 17
 
2.9%
30.70889165 17
 
2.9%
4.483030858 16
 
2.7%
21.46448171 16
 
2.7%
43.17808425 15
 
2.6%
26.48252939 15
 
2.6%
12.40703316 14
 
2.4%
Other values (156) 391
67.1%
ValueCountFrequency (%)
0 4
 
0.7%
4.483030858 16
2.7%
4.567099648 9
1.5%
5.316788604 1
 
0.2%
5.733667477 1
 
0.2%
ValueCountFrequency (%)
109.9370608 4
0.7%
109.852992 1
 
0.2%
105.4526231 1
 
0.2%
104.9352828 2
0.3%
100.3460957 2
0.3%
Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6588646372
Minimum0
Maximum21.04756622
Zeros539
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:00.843728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.261891555
Maximum21.04756622
Range21.04756622
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.597821944
Coefficient of variation (CV)3.942876574
Kurtosis23.95332554
Mean0.6588646372
Median Absolute Deviation (MAD)0
Skewness4.650196197
Sum384.1180835
Variance6.748678851
MonotonicityNot monotonic
2023-02-02T09:41:01.233388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 539
92.5%
5.261891555 23
 
3.9%
10.52378311 15
 
2.6%
15.78567466 4
 
0.7%
21.04756622 2
 
0.3%
ValueCountFrequency (%)
0 539
92.5%
5.261891555 23
 
3.9%
10.52378311 15
 
2.6%
15.78567466 4
 
0.7%
21.04756622 2
 
0.3%
ValueCountFrequency (%)
21.04756622 2
 
0.3%
15.78567466 4
 
0.7%
10.52378311 15
 
2.6%
5.261891555 23
 
3.9%
0 539
92.5%
Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.66330165
Minimum0
Maximum9.895188031
Zeros394
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:01.713241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.567099648
95-th percentile4.722094864
Maximum9.895188031
Range9.895188031
Interquartile range (IQR)4.567099648

Descriptive statistics

Standard deviation2.569287327
Coefficient of variation (CV)1.544691143
Kurtosis1.017356013
Mean1.66330165
Median Absolute Deviation (MAD)0
Skewness1.322331251
Sum969.704862
Variance6.601237367
MonotonicityNot monotonic
2023-02-02T09:41:02.136784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 394
67.6%
4.567099648 151
 
25.9%
4.722094864 11
 
1.9%
9.665781456 8
 
1.4%
9.895188031 7
 
1.2%
4.483030858 4
 
0.7%
9.799819462 4
 
0.7%
4.899909731 2
 
0.3%
9.289194512 1
 
0.2%
5.316788604 1
 
0.2%
ValueCountFrequency (%)
0 394
67.6%
4.483030858 4
 
0.7%
4.567099648 151
 
25.9%
4.722094864 11
 
1.9%
4.899909731 2
 
0.3%
ValueCountFrequency (%)
9.895188031 7
1.2%
9.799819462 4
0.7%
9.665781456 8
1.4%
9.289194512 1
 
0.2%
5.316788604 1
 
0.2%
Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.561085455
Minimum0
Maximum17.75371814
Zeros399
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:02.503098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.047671983
95-th percentile7.047671983
Maximum17.75371814
Range17.75371814
Interquartile range (IQR)7.047671983

Descriptive statistics

Standard deviation4.194048832
Coefficient of variation (CV)1.63760597
Kurtosis2.364110338
Mean2.561085455
Median Absolute Deviation (MAD)0
Skewness1.637595928
Sum1493.11282
Variance17.5900456
MonotonicityNot monotonic
2023-02-02T09:41:02.925913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 399
68.4%
7.047671983 130
 
22.3%
4.992404733 13
 
2.2%
17.75371814 12
 
2.1%
14.09534397 11
 
1.9%
5.917906046 10
 
1.7%
11.83581209 4
 
0.7%
5.733667477 2
 
0.3%
12.96557803 2
 
0.3%
ValueCountFrequency (%)
0 399
68.4%
4.992404733 13
 
2.2%
5.733667477 2
 
0.3%
5.917906046 10
 
1.7%
7.047671983 130
 
22.3%
ValueCountFrequency (%)
17.75371814 12
 
2.1%
14.09534397 11
 
1.9%
12.96557803 2
 
0.3%
11.83581209 4
 
0.7%
7.047671983 130
22.3%
Distinct312
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.99789665
Minimum0
Maximum213.3958603
Zeros27
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:03.455769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.561681534
Q119.76538045
median37.41237963
Q362.58742321
95-th percentile130.4280948
Maximum213.3958603
Range213.3958603
Interquartile range (IQR)42.82204277

Descriptive statistics

Standard deviation38.57439457
Coefficient of variation (CV)0.8207685305
Kurtosis1.966636264
Mean46.99789665
Median Absolute Deviation (MAD)19.47198143
Skewness1.401414114
Sum27399.77375
Variance1487.983916
MonotonicityNot monotonic
2023-02-02T09:41:04.032080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
4.6%
6.9237372 13
 
2.2%
13.46849361 11
 
1.9%
19.76538045 11
 
1.9%
11.016661 11
 
1.9%
32.60702369 10
 
1.7%
26.31013685 10
 
1.7%
13.34455882 10
 
1.7%
12.84164325 10
 
1.7%
6.544756406 7
 
1.2%
Other values (302) 463
79.4%
ValueCountFrequency (%)
0 27
4.6%
5.508330501 3
 
0.5%
6.041840829 1
 
0.2%
6.075650286 3
 
0.5%
6.176298517 3
 
0.5%
ValueCountFrequency (%)
213.3958603 1
0.2%
207.4779542 1
0.2%
192.8113288 2
0.3%
185.756389 1
0.2%
181.7946677 1
0.2%
Distinct67
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.2027165
Minimum0
Maximum81.04574365
Zeros189
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:04.572366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.26143591
Q326.6819412
95-th percentile40.39862071
Maximum81.04574365
Range81.04574365
Interquartile range (IQR)26.6819412

Descriptive statistics

Standard deviation15.14131409
Coefficient of variation (CV)0.8801699481
Kurtosis-0.1618590184
Mean17.2027165
Median Absolute Deviation (MAD)13.21376393
Skewness0.419607337
Sum10029.18372
Variance229.2593923
MonotonicityNot monotonic
2023-02-02T09:41:05.163002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
32.4%
26.6819412 64
 
11.0%
26.17902562 50
 
8.6%
24.64764011 24
 
4.1%
27.18485678 19
 
3.3%
13.08951281 15
 
2.6%
6.544756406 15
 
2.6%
7.047671983 11
 
1.9%
40.39862071 11
 
1.9%
39.89570513 11
 
1.9%
Other values (57) 174
29.8%
ValueCountFrequency (%)
0 189
32.4%
5.752853607 7
 
1.2%
6.161910027 1
 
0.2%
6.347970369 1
 
0.2%
6.544756406 15
 
2.6%
ValueCountFrequency (%)
81.04574365 2
0.3%
68.21064418 1
 
0.2%
54.61821579 1
 
0.2%
53.61238464 4
0.7%
47.50841825 1
 
0.2%
Distinct58
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.60607703
Minimum0
Maximum147.8968051
Zeros222
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:05.757278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.127401125
Q318.72100722
95-th percentile35.90957695
Maximum147.8968051
Range147.8968051
Interquartile range (IQR)18.72100722

Descriptive statistics

Standard deviation20.20850266
Coefficient of variation (CV)1.485255641
Kurtosis15.53671845
Mean13.60607703
Median Absolute Deviation (MAD)4.127401125
Skewness3.346638155
Sum7932.342908
Variance408.3835797
MonotonicityNot monotonic
2023-02-02T09:41:06.302308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 222
38.1%
18.72100722 100
17.2%
4.127401125 80
 
13.7%
15.32157129 19
 
3.3%
30.08987277 18
 
3.1%
18.21809164 14
 
2.4%
22.84840834 14
 
2.4%
12.39990978 11
 
1.9%
5.316788604 7
 
1.2%
34.72018947 6
 
1.0%
Other values (48) 92
15.8%
ValueCountFrequency (%)
0 222
38.1%
4.127401125 80
 
13.7%
5.316788604 7
 
1.2%
5.917906046 2
 
0.3%
11.83518498 2
 
0.3%
ValueCountFrequency (%)
147.8968051 1
 
0.2%
136.025024 3
0.5%
126.8907929 1
 
0.2%
125.4547425 1
 
0.2%
121.3273414 1
 
0.2%

MOE MR VSA Descriptor 8 ( 3.63 <= x < 3.80)
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:06.778340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:41:07.114826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9301054618
Minimum0
Maximum24.68756843
Zeros532
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:07.491329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.069221313
Maximum24.68756843
Range24.68756843
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.474988178
Coefficient of variation (CV)3.736122752
Kurtosis21.47740331
Mean0.9301054618
Median Absolute Deviation (MAD)0
Skewness4.45479568
Sum542.2514842
Variance12.07554284
MonotonicityNot monotonic
2023-02-02T09:41:07.927078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 532
91.3%
6.069221313 16
 
2.7%
12.38631219 12
 
2.1%
5.401253297 7
 
1.2%
18.20766394 3
 
0.5%
5.687386275 3
 
0.5%
12.13844263 3
 
0.5%
23.68173728 2
 
0.3%
23.87429233 2
 
0.3%
24.68756843 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 532
91.3%
5.401253297 7
 
1.2%
5.687386275 3
 
0.5%
6.069221313 16
 
2.7%
12.13844263 3
 
0.5%
ValueCountFrequency (%)
24.68756843 1
 
0.2%
23.87429233 2
0.3%
23.68173728 2
0.3%
18.4555335 1
 
0.2%
18.20766394 3
0.5%
Distinct37
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.524893207
Minimum0
Maximum33.62519275
Zeros227
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:08.393256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.567099648
Q35.316788604
95-th percentile21.5485505
Maximum33.62519275
Range33.62519275
Interquartile range (IQR)5.316788604

Descriptive statistics

Standard deviation6.737408912
Coefficient of variation (CV)1.219464098
Kurtosis1.436322849
Mean5.524893207
Median Absolute Deviation (MAD)4.567099648
Skewness1.460053974
Sum3221.01274
Variance45.39267885
MonotonicityNot monotonic
2023-02-02T09:41:08.889218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 227
38.9%
4.567099648 151
25.9%
16.98145085 21
 
3.6%
12.40703316 18
 
3.1%
16.97413281 17
 
2.9%
4.681802935 14
 
2.4%
5.733667477 14
 
2.4%
21.5485505 13
 
2.2%
5.316788604 12
 
2.1%
4.899909731 12
 
2.1%
Other values (27) 84
 
14.4%
ValueCountFrequency (%)
0 227
38.9%
4.483030858 4
 
0.7%
4.567099648 151
25.9%
4.681802935 14
 
2.4%
4.722094864 11
 
1.9%
ValueCountFrequency (%)
33.62519275 1
 
0.2%
28.54373977 2
 
0.3%
26.41831269 4
0.7%
23.97664013 6
1.0%
23.5358874 2
 
0.3%
Distinct261
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.52811364
Minimum0
Maximum116.397799
Zeros22
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:09.461445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.567099648
Q120.89181582
median32.41935462
Q353.04316566
95-th percentile71.35203604
Maximum116.397799
Range116.397799
Interquartile range (IQR)32.15134983

Descriptive statistics

Standard deviation22.05368731
Coefficient of variation (CV)0.6037455843
Kurtosis-0.4040770009
Mean36.52811364
Median Absolute Deviation (MAD)17.72110095
Skewness0.3050382754
Sum21295.89025
Variance486.365124
MonotonicityNot monotonic
2023-02-02T09:41:10.039112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.567099648 43
 
7.4%
0 22
 
3.8%
30.66205648 21
 
3.6%
32.41935462 19
 
3.3%
24.64764011 15
 
2.6%
23.04597701 14
 
2.4%
31.16497206 13
 
2.2%
11.821508 12
 
2.1%
58.51431145 11
 
1.9%
27.85225497 10
 
1.7%
Other values (251) 403
69.1%
ValueCountFrequency (%)
0 22
3.8%
4.567099648 43
7.4%
5.969305288 2
 
0.3%
6.145991148 1
 
0.2%
6.544756406 1
 
0.2%
ValueCountFrequency (%)
116.397799 1
0.2%
107.2716426 1
0.2%
102.3643685 1
0.2%
94.55240204 2
0.3%
88.91595734 1
0.2%
Distinct68
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.39211197
Minimum0
Maximum63.00281653
Zeros116
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:10.602541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.736862954
median13.59242839
Q320.04658231
95-th percentile33.13609512
Maximum63.00281653
Range63.00281653
Interquartile range (IQR)15.30971935

Descriptive statistics

Standard deviation10.84605334
Coefficient of variation (CV)0.8098837114
Kurtosis1.415527864
Mean13.39211197
Median Absolute Deviation (MAD)8.797891205
Skewness0.8400849554
Sum7807.601277
Variance117.6368731
MonotonicityNot monotonic
2023-02-02T09:41:11.161259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116
19.9%
13.59242839 59
 
10.1%
20.04658231 58
 
9.9%
4.736862954 44
 
7.5%
10.11812686 33
 
5.7%
23.71055525 28
 
4.8%
4.794537184 24
 
4.1%
6.544756406 23
 
3.9%
33.6390107 17
 
2.9%
13.08951281 10
 
1.7%
Other values (58) 171
29.3%
ValueCountFrequency (%)
0 116
19.9%
4.565048285 2
 
0.3%
4.736862954 44
 
7.5%
4.794537184 24
 
4.1%
6.420821623 1
 
0.2%
ValueCountFrequency (%)
63.00281653 3
0.5%
55.95514455 1
 
0.2%
49.41038814 1
 
0.2%
39.76594336 1
 
0.2%
34.41091994 2
0.3%
Distinct23
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.729240701
Minimum0
Maximum44.92185854
Zeros427
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:11.767317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.420821623
95-th percentile20.7712116
Maximum44.92185854
Range44.92185854
Interquartile range (IQR)6.420821623

Descriptive statistics

Standard deviation7.400311219
Coefficient of variation (CV)1.984401601
Kurtosis6.472866812
Mean3.729240701
Median Absolute Deviation (MAD)0
Skewness2.379062384
Sum2174.147329
Variance54.76460614
MonotonicityNot monotonic
2023-02-02T09:41:12.217859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 427
73.2%
6.9237372 43
 
7.4%
15.32157129 20
 
3.4%
11.33111287 14
 
2.4%
22.9100953 12
 
2.1%
17.75371814 12
 
2.1%
5.917906046 10
 
1.7%
10.2431403 7
 
1.2%
10.66314485 7
 
1.2%
20.7712116 5
 
0.9%
Other values (13) 26
 
4.5%
ValueCountFrequency (%)
0 427
73.2%
5.917906046 10
 
1.7%
6.9237372 43
 
7.4%
10.2431403 7
 
1.2%
10.66314485 7
 
1.2%
ValueCountFrequency (%)
44.92185854 2
0.3%
39.91124465 3
0.5%
34.24120817 1
 
0.2%
27.15738339 1
 
0.2%
24.68756843 1
 
0.2%
Distinct122
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.71083375
Minimum0
Maximum213.3958603
Zeros71
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:12.766273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.84164325
median26.18620207
Q346.95741367
95-th percentile130.4280948
Maximum213.3958603
Range213.3958603
Interquartile range (IQR)34.11577042

Descriptive statistics

Standard deviation39.06870781
Coefficient of variation (CV)1.036007532
Kurtosis2.556766047
Mean37.71083375
Median Absolute Deviation (MAD)15.05929909
Skewness1.645270085
Sum21985.41608
Variance1526.36393
MonotonicityNot monotonic
2023-02-02T09:41:13.629191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
12.2%
6.9237372 44
 
7.5%
19.76538045 35
 
6.0%
12.84164325 31
 
5.3%
32.60702369 26
 
4.5%
13.34455882 23
 
3.9%
20.7712116 19
 
3.3%
26.68911765 16
 
2.7%
13.8474744 15
 
2.6%
45.44866694 12
 
2.1%
Other values (112) 291
49.9%
ValueCountFrequency (%)
0 71
12.2%
5.563451492 4
 
0.7%
5.824404498 1
 
0.2%
6.420821623 3
 
0.5%
6.9237372 44
7.5%
ValueCountFrequency (%)
213.3958603 1
 
0.2%
207.4779542 1
 
0.2%
181.7946677 3
0.5%
180.8536127 1
 
0.2%
162.5322029 1
 
0.2%
Distinct33
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.96626023
Minimum0
Maximum121.3273414
Zeros332
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:14.199256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318.72100722
95-th percentile30.59278835
Maximum121.3273414
Range121.3273414
Interquartile range (IQR)18.72100722

Descriptive statistics

Standard deviation17.6345393
Coefficient of variation (CV)1.608072299
Kurtosis13.22473154
Mean10.96626023
Median Absolute Deviation (MAD)0
Skewness3.044846502
Sum6393.329716
Variance310.9769764
MonotonicityNot monotonic
2023-02-02T09:41:14.691552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 332
56.9%
18.72100722 119
 
20.4%
24.52642128 20
 
3.4%
12.39368714 18
 
3.1%
30.59278835 13
 
2.2%
17.39231451 13
 
2.2%
30.33183534 8
 
1.4%
12.65464015 8
 
1.4%
29.16095175 6
 
1.0%
53.68737303 4
 
0.7%
Other values (23) 42
 
7.2%
ValueCountFrequency (%)
0 332
56.9%
11.83518498 2
 
0.3%
12.39368714 18
 
3.1%
12.65464015 8
 
1.4%
12.65495579 4
 
0.7%
ValueCountFrequency (%)
121.3273414 3
0.5%
105.6819565 2
0.3%
103.3891932 1
 
0.2%
91.51741204 3
0.5%
83.75825537 1
 
0.2%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03252233306
Minimum0
Maximum6.320173392
Zeros580
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:15.173482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6.320173392
Range6.320173392
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4525930155
Coefficient of variation (CV)13.91637601
Kurtosis190.9827825
Mean0.03252233306
Median Absolute Deviation (MAD)0
Skewness13.86822332
Sum18.96052017
Variance0.2048404377
MonotonicityNot monotonic
2023-02-02T09:41:15.600168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 580
99.5%
6.320173392 3
 
0.5%
ValueCountFrequency (%)
0 580
99.5%
6.320173392 3
 
0.5%
ValueCountFrequency (%)
6.320173392 3
 
0.5%
0 580
99.5%
Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.22489987
Minimum0
Maximum15.16080256
Zeros435
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:15.966911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.127401125
95-th percentile4.127401125
Maximum15.16080256
Range15.16080256
Interquartile range (IQR)4.127401125

Descriptive statistics

Standard deviation2.320343041
Coefficient of variation (CV)1.894312423
Kurtosis5.517303416
Mean1.22489987
Median Absolute Deviation (MAD)0
Skewness2.142635794
Sum714.1166244
Variance5.383991827
MonotonicityNot monotonic
2023-02-02T09:41:16.343615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 435
74.6%
4.127401125 122
 
20.9%
5.316788604 13
 
2.2%
11.03340144 6
 
1.0%
9.8147874 3
 
0.5%
10.21662063 3
 
0.5%
15.16080256 1
 
0.2%
ValueCountFrequency (%)
0 435
74.6%
4.127401125 122
 
20.9%
5.316788604 13
 
2.2%
9.8147874 3
 
0.5%
10.21662063 3
 
0.5%
ValueCountFrequency (%)
15.16080256 1
 
0.2%
11.03340144 6
1.0%
10.21662063 3
 
0.5%
9.8147874 3
 
0.5%
5.316788604 13
2.2%

MOE logP VSA Descriptor 9 ( 0.30 <= x < 0.40)
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:16.803475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:41:17.152473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.63385374
Minimum0
Maximum105.3699611
Zeros220
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:17.620454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.26263557
Q326.34249029
95-th percentile52.46071211
Maximum105.3699611
Range105.3699611
Interquartile range (IQR)26.34249029

Descriptive statistics

Standard deviation19.13149104
Coefficient of variation (CV)1.084929665
Kurtosis3.862981598
Mean17.63385374
Median Absolute Deviation (MAD)17.26263557
Skewness1.571607393
Sum10280.53673
Variance366.0139493
MonotonicityNot monotonic
2023-02-02T09:41:18.077803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 220
37.7%
26.34249029 107
18.4%
17.26263557 52
 
8.9%
25.1814338 44
 
7.5%
13.17124514 43
 
7.4%
39.51373543 22
 
3.8%
52.46071211 12
 
2.1%
34.89905192 11
 
1.9%
26.11822182 11
 
1.9%
43.67988201 11
 
1.9%
Other values (14) 50
 
8.6%
ValueCountFrequency (%)
0 220
37.7%
4.794537184 1
 
0.2%
5.687386275 3
 
0.5%
7.771517605 11
 
1.9%
12.94697668 3
 
0.5%
ValueCountFrequency (%)
105.3699611 5
0.9%
83.41788591 2
 
0.3%
79.02747086 3
0.5%
78.44694261 4
0.7%
74.63705581 3
0.5%

MOE logP VSA Descriptor 11 ( 0.50 <= x < 0.60)
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:18.485069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:41:18.833934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct54
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.13540748
Minimum0
Maximum194.7116091
Zeros88
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:19.313276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.254408353
median10.39900058
Q331.06324331
95-th percentile42.39613351
Maximum194.7116091
Range194.7116091
Interquartile range (IQR)23.80883496

Descriptive statistics

Standard deviation21.79858561
Coefficient of variation (CV)1.201990395
Kurtosis35.06749755
Mean18.13540748
Median Absolute Deviation (MAD)10.39900058
Skewness4.785612502
Sum10572.94256
Variance475.1783346
MonotonicityNot monotonic
2023-02-02T09:41:19.915187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
15.1%
31.06324331 86
14.8%
7.254408353 52
 
8.9%
7.808509084 42
 
7.2%
15.62645736 29
 
5.0%
10.11812686 27
 
4.6%
10.39900058 21
 
3.6%
5.086619043 20
 
3.4%
7.262479191 15
 
2.6%
33.39404486 14
 
2.4%
Other values (44) 189
32.4%
ValueCountFrequency (%)
0 88
15.1%
5.086619043 20
 
3.4%
5.770940929 4
 
0.7%
5.917906046 3
 
0.5%
5.969305288 9
 
1.5%
ValueCountFrequency (%)
194.7116091 5
0.9%
79.8177657 2
 
0.3%
67.97270736 2
 
0.3%
66.59841832 3
0.5%
57.08416154 3
0.5%
Distinct27
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.202915217
Minimum0
Maximum23.97664013
Zeros421
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:20.418857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.895483476
95-th percentile16.98145085
Maximum23.97664013
Range23.97664013
Interquartile range (IQR)4.895483476

Descriptive statistics

Standard deviation5.958450565
Coefficient of variation (CV)1.860321039
Kurtosis2.150982643
Mean3.202915217
Median Absolute Deviation (MAD)0
Skewness1.795770075
Sum1867.299571
Variance35.50313313
MonotonicityNot monotonic
2023-02-02T09:41:20.906039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 421
72.2%
12.40703316 37
 
6.3%
16.98145085 34
 
5.8%
4.895483476 14
 
2.4%
6.606881965 12
 
2.1%
4.722094864 9
 
1.5%
23.97664013 8
 
1.4%
5.752853607 7
 
1.2%
12.01114612 7
 
1.2%
5.969305288 6
 
1.0%
Other values (17) 28
 
4.8%
ValueCountFrequency (%)
0 421
72.2%
4.127401125 2
 
0.3%
4.722094864 9
 
1.5%
4.895483476 14
 
2.4%
5.563451492 4
 
0.7%
ValueCountFrequency (%)
23.97664013 8
1.4%
23.58833282 1
 
0.2%
23.02329168 2
 
0.3%
18.95178957 1
 
0.2%
18.51099955 1
 
0.2%
Distinct21
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.366353648
Minimum0
Maximum26.42752786
Zeros490
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:21.363152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.718423269
Maximum26.42752786
Range26.42752786
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.557991842
Coefficient of variation (CV)2.60400508
Kurtosis10.12428702
Mean1.366353648
Median Absolute Deviation (MAD)0
Skewness3.028443639
Sum796.5841769
Variance12.65930594
MonotonicityNot monotonic
2023-02-02T09:41:21.845854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 490
84.0%
6.420821623 13
 
2.2%
6.544756406 12
 
2.1%
6.103966388 11
 
1.9%
6.606881965 10
 
1.7%
4.127401125 8
 
1.4%
6.255769184 6
 
1.0%
10.89498075 5
 
0.9%
13.46163349 5
 
0.9%
13.15163837 5
 
0.9%
Other values (11) 18
 
3.1%
ValueCountFrequency (%)
0 490
84.0%
4.127401125 8
 
1.4%
4.483030858 1
 
0.2%
4.567099648 1
 
0.2%
5.917906046 1
 
0.2%
ValueCountFrequency (%)
26.42752786 1
 
0.2%
17.63466923 3
0.5%
17.57254367 3
0.5%
13.46163349 5
0.9%
13.15163837 5
0.9%
Distinct80
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.282248492
Minimum0
Maximum61.21698546
Zeros225
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:22.439975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.563451492
Q311.02778726
95-th percentile25.93115606
Maximum61.21698546
Range61.21698546
Interquartile range (IQR)11.02778726

Descriptive statistics

Standard deviation9.331810792
Coefficient of variation (CV)1.281446356
Kurtosis6.111724704
Mean7.282248492
Median Absolute Deviation (MAD)5.563451492
Skewness2.156768296
Sum4245.550871
Variance87.08269265
MonotonicityNot monotonic
2023-02-02T09:41:23.002160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 225
38.6%
6.544756406 90
 
15.4%
4.127401125 51
 
8.7%
10.67215753 16
 
2.7%
13.21376393 11
 
1.9%
11.02778726 11
 
1.9%
28.96756574 10
 
1.7%
13.08951281 9
 
1.5%
5.563451492 8
 
1.4%
6.606881965 8
 
1.4%
Other values (70) 144
24.7%
ValueCountFrequency (%)
0 225
38.6%
4.127401125 51
 
8.7%
4.483030858 6
 
1.0%
4.722094864 3
 
0.5%
5.563451492 8
 
1.4%
ValueCountFrequency (%)
61.21698546 1
0.2%
53.54675059 1
0.2%
48.00322154 1
0.2%
47.50716607 1
0.2%
47.12592896 1
0.2%
Distinct188
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.68530993
Minimum0
Maximum216.7419488
Zeros99
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:23.610135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.420821623
median25.93115606
Q353.26659012
95-th percentile115.5747892
Maximum216.7419488
Range216.7419488
Interquartile range (IQR)46.8457685

Descriptive statistics

Standard deviation37.49565816
Coefficient of variation (CV)1.022089175
Kurtosis2.003315921
Mean36.68530993
Median Absolute Deviation (MAD)20.36770457
Skewness1.434883734
Sum21387.53569
Variance1405.924381
MonotonicityNot monotonic
2023-02-02T09:41:24.157826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
 
17.0%
25.93115606 22
 
3.8%
12.84164325 21
 
3.6%
36.95894332 17
 
2.9%
6.420821623 16
 
2.7%
4.899909731 15
 
2.6%
49.80058657 12
 
2.1%
43.37976494 11
 
1.9%
19.26246487 11
 
1.9%
24.11730008 8
 
1.4%
Other values (178) 351
60.2%
ValueCountFrequency (%)
0 99
17.0%
4.681802935 1
 
0.2%
4.899909731 15
 
2.6%
5.563451492 6
 
1.0%
5.687386275 1
 
0.2%
ValueCountFrequency (%)
216.7419488 1
0.2%
184.7617754 1
0.2%
165.4993106 1
0.2%
159.0784889 1
0.2%
154.099719 1
0.2%
Distinct19
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.24612253
Minimum0
Maximum50.3309266
Zeros474
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:24.669299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.13273414
Maximum50.3309266
Range50.3309266
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.266504978
Coefficient of variation (CV)2.789921251
Kurtosis23.7320436
Mean2.24612253
Median Absolute Deviation (MAD)0
Skewness4.330829163
Sum1309.489435
Variance39.26908463
MonotonicityNot monotonic
2023-02-02T09:41:25.083960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 474
81.3%
7.109797541 35
 
6.0%
12.13273414 14
 
2.4%
6.19995489 10
 
1.7%
6.9237372 8
 
1.4%
24.64764011 8
 
1.4%
4.899909731 7
 
1.2%
6.161910027 5
 
0.9%
18.19910121 4
 
0.7%
18.48573008 3
 
0.5%
Other values (9) 15
 
2.6%
ValueCountFrequency (%)
0 474
81.3%
4.899909731 7
 
1.2%
5.480096598 1
 
0.2%
6.076020107 1
 
0.2%
6.161910027 5
 
0.9%
ValueCountFrequency (%)
50.3309266 3
 
0.5%
43.91010498 1
 
0.2%
31.06846173 2
 
0.3%
28.43919017 1
 
0.2%
24.64764011 8
1.4%
Distinct47
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.807749964
Minimum0
Maximum42.94099533
Zeros422
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:25.597627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.076020107
95-th percentile28.99084415
Maximum42.94099533
Range42.94099533
Interquartile range (IQR)6.076020107

Descriptive statistics

Standard deviation9.757449502
Coefficient of variation (CV)2.029525157
Kurtosis4.384972439
Mean4.807749964
Median Absolute Deviation (MAD)0
Skewness2.24324922
Sum2802.918229
Variance95.20782077
MonotonicityNot monotonic
2023-02-02T09:41:26.116373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 422
72.4%
7.047671983 25
 
4.3%
6.9237372 23
 
3.9%
17.8116152 22
 
3.8%
19.58616224 10
 
1.7%
6.066367068 8
 
1.4%
41.95055048 7
 
1.2%
30.33577885 7
 
1.2%
6.076020107 4
 
0.7%
24.7353524 3
 
0.5%
Other values (37) 52
 
8.9%
ValueCountFrequency (%)
0 422
72.4%
4.899909731 2
 
0.3%
5.316788604 2
 
0.3%
6.066367068 8
 
1.4%
6.076020107 4
 
0.7%
ValueCountFrequency (%)
42.94099533 1
 
0.2%
41.95055048 7
1.2%
41.53411626 1
 
0.2%
41.22910931 1
 
0.2%
40.97209981 3
0.5%
Distinct131
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.91546662
Minimum0
Maximum121.3273414
Zeros14
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:26.620466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.992404733
Q113.97140918
median27.6949488
Q341.66635798
95-th percentile47.09540497
Maximum121.3273414
Range121.3273414
Interquartile range (IQR)27.6949488

Descriptive statistics

Standard deviation16.49466459
Coefficient of variation (CV)0.6128321989
Kurtosis4.620314154
Mean26.91546662
Median Absolute Deviation (MAD)13.72353962
Skewness1.331927324
Sum15691.71704
Variance272.07396
MonotonicityNot monotonic
2023-02-02T09:41:27.521526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.6949488 68
 
11.7%
13.97140918 47
 
8.1%
41.8266157 37
 
6.3%
7.047671983 25
 
4.3%
24.01500049 21
 
3.6%
34.77894371 21
 
3.6%
27.81888358 20
 
3.4%
20.7712116 18
 
3.1%
0 14
 
2.4%
41.79029276 14
 
2.4%
Other values (121) 298
51.1%
ValueCountFrequency (%)
0 14
2.4%
4.183085433 2
 
0.3%
4.567099648 3
 
0.5%
4.736862954 1
 
0.2%
4.899909731 1
 
0.2%
ValueCountFrequency (%)
121.3273414 2
0.3%
97.91924323 1
0.2%
90.99550603 2
0.3%
84.14938737 2
0.3%
84.02545259 1
0.2%
Distinct32
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.423598873
Minimum0
Maximum40.19649579
Zeros328
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:28.060380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.261891555
95-th percentile17.52329673
Maximum40.19649579
Range40.19649579
Interquartile range (IQR)5.261891555

Descriptive statistics

Standard deviation6.342345203
Coefficient of variation (CV)1.433752332
Kurtosis3.242088047
Mean4.423598873
Median Absolute Deviation (MAD)0
Skewness1.63094255
Sum2578.958143
Variance40.22534267
MonotonicityNot monotonic
2023-02-02T09:41:28.547015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 328
56.3%
4.736862954 63
 
10.8%
12.97054686 33
 
5.7%
5.261891555 23
 
3.9%
9.901064579 22
 
3.8%
15.32157129 18
 
3.1%
5.106527395 16
 
2.7%
10.52378311 15
 
2.6%
9.473725908 12
 
2.1%
20.42610958 7
 
1.2%
Other values (22) 46
 
7.9%
ValueCountFrequency (%)
0 328
56.3%
4.552749874 5
 
0.9%
4.736862954 63
 
10.8%
4.837588584 1
 
0.2%
5.106527395 16
 
2.7%
ValueCountFrequency (%)
40.19649579 2
0.3%
24.35181049 1
0.2%
23.37284062 1
0.2%
23.18360165 1
0.2%
21.04756622 2
0.3%
Distinct36
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.51081568
Minimum0
Maximum105.3699611
Zeros161
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:29.166972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.26263557
Q343.17808425
95-th percentile60.13733804
Maximum105.3699611
Range105.3699611
Interquartile range (IQR)43.17808425

Descriptive statistics

Standard deviation22.20428328
Coefficient of variation (CV)0.9444284532
Kurtosis1.302009553
Mean23.51081568
Median Absolute Deviation (MAD)17.26263557
Skewness1.056725743
Sum13706.80554
Variance493.0301961
MonotonicityNot monotonic
2023-02-02T09:41:29.700953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 161
27.6%
43.17808425 91
15.6%
17.26263557 50
 
8.6%
25.1814338 44
 
7.5%
13.17124514 40
 
6.9%
12.97054686 35
 
6.0%
52.48428229 19
 
3.3%
52.46071211 12
 
2.1%
34.89905192 11
 
1.9%
26.11822182 11
 
1.9%
Other values (26) 109
18.7%
ValueCountFrequency (%)
0 161
27.6%
4.794537184 10
 
1.7%
9.901064579 4
 
0.7%
12.94697668 3
 
0.5%
12.97054686 35
 
6.0%
ValueCountFrequency (%)
105.3699611 5
0.9%
100.2534799 2
 
0.3%
95.86306483 3
0.5%
87.60760267 3
0.5%
82.69181968 2
 
0.3%
Distinct458
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.78862734
Minimum0
Maximum345.2108679
Zeros44
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:30.295166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.407235849
median58.90277778
Q3109.9776389
95-th percentile160.0774765
Maximum345.2108679
Range345.2108679
Interquartile range (IQR)105.570403

Descriptive statistics

Standard deviation61.07645565
Coefficient of variation (CV)0.9574818928
Kurtosis3.696532738
Mean63.78862734
Median Absolute Deviation (MAD)51.5575
Skewness1.509815224
Sum37188.76974
Variance3730.333434
MonotonicityNot monotonic
2023-02-02T09:41:30.838855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
7.5%
109.1825 19
 
3.3%
1.355 6
 
1.0%
4.15625 6
 
1.0%
58.90277778 5
 
0.9%
31.54861111 4
 
0.7%
60.07291667 4
 
0.7%
39 4
 
0.7%
59.19444444 3
 
0.5%
110.27625 3
 
0.5%
Other values (448) 485
83.2%
ValueCountFrequency (%)
0 44
7.5%
0.7152777778 1
 
0.2%
0.8897222222 2
 
0.3%
0.9375 1
 
0.2%
0.94875 1
 
0.2%
ValueCountFrequency (%)
345.2108679 1
0.2%
345.1497872 1
0.2%
345.1280858 1
0.2%
343.1034256 1
0.2%
342.1774187 1
0.2%
Distinct50
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.889276524
Minimum-0.1776851852
Maximum23.115702
Zeros460
Zeros (%)78.9%
Negative14
Negative (%)2.4%
Memory size4.7 KiB
2023-02-02T09:41:31.377505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1776851852
5-th percentile0
Q10
median0
Q30
95-th percentile10.78759259
Maximum23.115702
Range23.29338719
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.533316396
Coefficient of variation (CV)2.399498612
Kurtosis6.516040744
Mean1.889276524
Median Absolute Deviation (MAD)0
Skewness2.60156539
Sum1101.448213
Variance20.55095755
MonotonicityNot monotonic
2023-02-02T09:41:31.954175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 460
78.9%
8.25 20
 
3.4%
-0.1776851852 14
 
2.4%
9.811597222 9
 
1.5%
5.053240741 8
 
1.4%
8.784722222 8
 
1.4%
19.92146636 6
 
1.0%
8.888888889 4
 
0.7%
10.08981481 4
 
0.7%
10.22685185 3
 
0.5%
Other values (40) 47
 
8.1%
ValueCountFrequency (%)
-0.1776851852 14
 
2.4%
0 460
78.9%
1.416666667 2
 
0.3%
1.680555556 2
 
0.3%
1.838472222 1
 
0.2%
ValueCountFrequency (%)
23.115702 1
 
0.2%
22.92361111 2
 
0.3%
21.60202192 1
 
0.2%
19.92146636 6
1.0%
19.2814196 1
 
0.2%
Distinct78
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.815977096
Minimum-16.43650652
Maximum57.08964853
Zeros413
Zeros (%)70.8%
Negative28
Negative (%)4.8%
Memory size4.7 KiB
2023-02-02T09:41:32.575153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-16.43650652
5-th percentile0
Q10
median0
Q30
95-th percentile17.42081179
Maximum57.08964853
Range73.52615505
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.446937885
Coefficient of variation (CV)2.999647227
Kurtosis17.08436322
Mean2.815977096
Median Absolute Deviation (MAD)0
Skewness3.328805662
Sum1641.714647
Variance71.35075964
MonotonicityNot monotonic
2023-02-02T09:41:33.192192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
70.8%
14.75 18
 
3.1%
-7.112083333 12
 
2.1%
17.4375 12
 
2.1%
8.784722222 10
 
1.7%
-13.98264172 8
 
1.4%
8.25 6
 
1.0%
8.467592593 6
 
1.0%
54.72853741 5
 
0.9%
8.285009133 5
 
0.9%
Other values (68) 88
 
15.1%
ValueCountFrequency (%)
-16.43650652 2
 
0.3%
-13.98264172 8
1.4%
-8.050256519 1
 
0.2%
-7.953531037 2
 
0.3%
-7.112083333 12
2.1%
ValueCountFrequency (%)
57.08964853 1
 
0.2%
56.97853741 1
 
0.2%
54.72853741 5
0.9%
32.34722222 2
 
0.3%
25.68635488 1
 
0.2%
Distinct72
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.716935563
Minimum-30.20454837
Maximum4.834065571
Zeros364
Zeros (%)62.4%
Negative150
Negative (%)25.7%
Memory size4.7 KiB
2023-02-02T09:41:33.806950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-30.20454837
5-th percentile-12.40611111
Q1-4.312384968
median0
Q30
95-th percentile2.522320484
Maximum4.834065571
Range35.03861395
Interquartile range (IQR)4.312384968

Descriptive statistics

Standard deviation6.028709057
Coefficient of variation (CV)-2.218937078
Kurtosis4.841011753
Mean-2.716935563
Median Absolute Deviation (MAD)0
Skewness-2.050254192
Sum-1583.973433
Variance36.3453329
MonotonicityNot monotonic
2023-02-02T09:41:34.365091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 364
62.4%
-12.40611111 91
 
15.6%
-5.645833333 24
 
4.1%
-5.964375 9
 
1.5%
0.9281481481 7
 
1.2%
-30.20454837 5
 
0.9%
3.486111111 4
 
0.7%
-29.26277778 4
 
0.7%
3.604166667 3
 
0.5%
3.434675926 3
 
0.5%
Other values (62) 69
 
11.8%
ValueCountFrequency (%)
-30.20454837 5
 
0.9%
-29.26277778 4
 
0.7%
-20.97861111 2
 
0.3%
-12.40611111 91
15.6%
-12.22381944 1
 
0.2%
ValueCountFrequency (%)
4.834065571 1
0.2%
4.571759259 2
0.3%
4.514849301 1
0.2%
3.723194444 1
0.2%
3.685185185 1
0.2%
Distinct94
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.079380181
Minimum-52.14336735
Maximum12.29154993
Zeros384
Zeros (%)65.9%
Negative138
Negative (%)23.7%
Memory size4.7 KiB
2023-02-02T09:41:34.973238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-52.14336735
5-th percentile-14.81962963
Q10
median0
Q30
95-th percentile1.356171296
Maximum12.29154993
Range64.43491727
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.969427528
Coefficient of variation (CV)-3.35168508
Kurtosis18.21696116
Mean-2.079380181
Median Absolute Deviation (MAD)0
Skewness-3.842040216
Sum-1212.278645
Variance48.57292006
MonotonicityNot monotonic
2023-02-02T09:41:35.490253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
65.9%
-14.81962963 13
 
2.2%
-22.60784722 12
 
2.1%
-6.5625 11
 
1.9%
-14.19097222 11
 
1.9%
-3.199236111 8
 
1.4%
-3.006944444 8
 
1.4%
-4.218337113 6
 
1.0%
-1.083333333 5
 
0.9%
-1.583333333 5
 
0.9%
Other values (84) 120
 
20.6%
ValueCountFrequency (%)
-52.14336735 3
0.5%
-36.68279646 1
 
0.2%
-36.65152896 1
 
0.2%
-32.95349854 3
0.5%
-32.62074452 1
 
0.2%
ValueCountFrequency (%)
12.29154993 2
0.3%
5.375 2
0.3%
5.074791667 1
0.2%
4.237777778 1
0.2%
4.145833333 1
0.2%
Distinct79
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.315621587
Minimum-8.810306122
Maximum43.82746914
Zeros471
Zeros (%)80.8%
Negative13
Negative (%)2.2%
Memory size4.7 KiB
2023-02-02T09:41:36.058953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-8.810306122
5-th percentile0
Q10
median0
Q30
95-th percentile8.511932941
Maximum43.82746914
Range52.63777526
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.652688417
Coefficient of variation (CV)3.536494431
Kurtosis40.56819908
Mean1.315621587
Median Absolute Deviation (MAD)0
Skewness5.521368883
Sum767.0073855
Variance21.64750951
MonotonicityNot monotonic
2023-02-02T09:41:36.608296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 471
80.8%
5.782638889 7
 
1.2%
-0.2453703704 4
 
0.7%
-8.810306122 4
 
0.7%
2.124609552 4
 
0.7%
6.0825 3
 
0.5%
10.45518519 3
 
0.5%
4.1875 3
 
0.5%
2.046944444 3
 
0.5%
32.1537963 2
 
0.3%
Other values (69) 79
 
13.6%
ValueCountFrequency (%)
-8.810306122 4
0.7%
-2.517006808 1
 
0.2%
-0.6388888889 1
 
0.2%
-0.2453703704 4
0.7%
-0.2268518519 1
 
0.2%
ValueCountFrequency (%)
43.82746914 2
0.3%
41.45180201 1
0.2%
32.1537963 2
0.3%
24.4464555 1
0.2%
21.37377646 1
0.2%
Distinct355
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.728931097
Minimum-44.55833121
Maximum48.16128559
Zeros72
Zeros (%)12.3%
Negative101
Negative (%)17.3%
Memory size4.7 KiB
2023-02-02T09:41:37.147836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-44.55833121
5-th percentile-7.023393176
Q10
median4.282222222
Q38.875904195
95-th percentile25.86058308
Maximum48.16128559
Range92.7196168
Interquartile range (IQR)8.875904195

Descriptive statistics

Standard deviation10.48558186
Coefficient of variation (CV)1.830285909
Kurtosis3.387015604
Mean5.728931097
Median Absolute Deviation (MAD)4.282222222
Skewness0.2422608392
Sum3339.966829
Variance109.9474269
MonotonicityNot monotonic
2023-02-02T09:41:37.715235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
12.3%
6.142361111 12
 
2.1%
5.592592593 8
 
1.4%
26.53630061 6
 
1.0%
25.86058308 6
 
1.0%
8.817018141 6
 
1.0%
7.427916667 5
 
0.9%
4.253472222 5
 
0.9%
5.685286281 5
 
0.9%
-6 5
 
0.9%
Other values (345) 453
77.7%
ValueCountFrequency (%)
-44.55833121 1
0.2%
-43.10620544 1
0.2%
-36.34227539 1
0.2%
-34.23483302 1
0.2%
-28.94549968 1
0.2%
ValueCountFrequency (%)
48.16128559 1
0.2%
43.76389498 1
0.2%
42.08897022 2
0.3%
34.76893308 1
0.2%
34.51511419 1
0.2%
Distinct343
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.479824535
Minimum-11.82439815
Maximum22.18685516
Zeros28
Zeros (%)4.8%
Negative42
Negative (%)7.2%
Memory size4.7 KiB
2023-02-02T09:41:38.581594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-11.82439815
5-th percentile-1.319123724
Q12.807291667
median4.954652778
Q37.923506944
95-th percentile15.00060977
Maximum22.18685516
Range34.01125331
Interquartile range (IQR)5.116215278

Descriptive statistics

Standard deviation4.884006243
Coefficient of variation (CV)0.8912705529
Kurtosis0.5331402007
Mean5.479824535
Median Absolute Deviation (MAD)2.326284486
Skewness0.133895294
Sum3194.737704
Variance23.85351698
MonotonicityNot monotonic
2023-02-02T09:41:39.108228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
4.8%
3.181388889 16
 
2.7%
6.554297052 12
 
2.1%
3.361944444 11
 
1.9%
2.777777778 9
 
1.5%
3.306388889 7
 
1.2%
6.517361111 7
 
1.2%
3.460404986 6
 
1.0%
3.471609031 6
 
1.0%
2.75 5
 
0.9%
Other values (333) 476
81.6%
ValueCountFrequency (%)
-11.82439815 1
0.2%
-11.59259259 1
0.2%
-10.20050926 1
0.2%
-8.451489985 1
0.2%
-7.939791667 1
0.2%
ValueCountFrequency (%)
22.18685516 1
0.2%
16.89349939 1
0.2%
16.8337963 1
0.2%
16.40740741 1
0.2%
16.38502953 1
0.2%
Distinct358
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.487687344
Minimum-23.68333333
Maximum19.07187075
Zeros67
Zeros (%)11.5%
Negative347
Negative (%)59.5%
Memory size4.7 KiB
2023-02-02T09:41:39.688930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-23.68333333
5-th percentile-13.44305556
Q1-8.585123773
median-2.167663218
Q31.773472222
95-th percentile4.133220663
Maximum19.07187075
Range42.75520408
Interquartile range (IQR)10.35859599

Descriptive statistics

Standard deviation5.977351579
Coefficient of variation (CV)-1.713843871
Kurtosis-0.1621011688
Mean-3.487687344
Median Absolute Deviation (MAD)4.211756189
Skewness-0.2453275447
Sum-2033.321721
Variance35.72873189
MonotonicityNot monotonic
2023-02-02T09:41:40.233353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
11.5%
-13.44305556 31
 
5.3%
-10.65740741 19
 
3.3%
-6 14
 
2.4%
2.02 11
 
1.9%
-6.090277778 9
 
1.5%
2.405416667 9
 
1.5%
-4.269583333 5
 
0.9%
2.033888889 4
 
0.7%
-7.416805556 4
 
0.7%
Other values (348) 410
70.3%
ValueCountFrequency (%)
-23.68333333 2
0.3%
-15.34867284 1
0.2%
-15.26339923 1
0.2%
-15.25449074 1
0.2%
-15.23986111 1
0.2%
ValueCountFrequency (%)
19.07187075 1
 
0.2%
19.04777778 1
 
0.2%
10.46836262 1
 
0.2%
8.187222222 3
0.5%
7.722373929 1
 
0.2%

2-ordered path count
Real number (ℝ)

Distinct69
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.03945111
Minimum2
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:40.753974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q118.5
median28
Q337
95-th percentile50.9
Maximum129
Range127
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation15.39704152
Coefficient of variation (CV)0.5302111759
Kurtosis9.85898553
Mean29.03945111
Median Absolute Deviation (MAD)9
Skewness2.125417111
Sum16930
Variance237.0688877
MonotonicityNot monotonic
2023-02-02T09:41:41.326858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 24
 
4.1%
38 23
 
3.9%
28 21
 
3.6%
18 21
 
3.6%
30 20
 
3.4%
17 19
 
3.3%
36 19
 
3.3%
24 18
 
3.1%
16 18
 
3.1%
32 18
 
3.1%
Other values (59) 382
65.5%
ValueCountFrequency (%)
2 1
 
0.2%
3 1
 
0.2%
4 4
0.7%
5 3
0.5%
6 3
0.5%
ValueCountFrequency (%)
129 1
0.2%
122 1
0.2%
121 1
0.2%
116 1
0.2%
115 1
0.2%

3-ordered path count
Real number (ℝ)

Distinct80
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.0051458
Minimum0
Maximum147
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:41.922332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median24
Q336
95-th percentile57
Maximum147
Range147
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.28404895
Coefficient of variation (CV)0.688589486
Kurtosis9.353578115
Mean28.0051458
Median Absolute Deviation (MAD)10
Skewness2.31623714
Sum16327
Variance371.8745439
MonotonicityNot monotonic
2023-02-02T09:41:42.542941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 26
 
4.5%
20 23
 
3.9%
28 21
 
3.6%
13 20
 
3.4%
22 20
 
3.4%
16 19
 
3.3%
15 17
 
2.9%
31 17
 
2.9%
24 16
 
2.7%
12 16
 
2.7%
Other values (70) 388
66.6%
ValueCountFrequency (%)
0 7
1.2%
1 2
 
0.3%
2 4
0.7%
3 2
 
0.3%
4 5
0.9%
ValueCountFrequency (%)
147 1
0.2%
141 1
0.2%
140 1
0.2%
135 1
0.2%
134 1
0.2%

4-ordered path count
Real number (ℝ)

Distinct76
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.35506003
Minimum0
Maximum183
Zeros14
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:43.179930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q115
median21
Q332
95-th percentile53
Maximum183
Range183
Interquartile range (IQR)17

Descriptive statistics

Standard deviation20.94648321
Coefficient of variation (CV)0.8261263506
Kurtosis22.65657034
Mean25.35506003
Median Absolute Deviation (MAD)9
Skewness3.769180714
Sum14782
Variance438.7551591
MonotonicityNot monotonic
2023-02-02T09:41:43.748996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 47
 
8.1%
18 27
 
4.6%
12 24
 
4.1%
14 22
 
3.8%
30 19
 
3.3%
21 19
 
3.3%
24 18
 
3.1%
27 17
 
2.9%
25 17
 
2.9%
16 17
 
2.9%
Other values (66) 356
61.1%
ValueCountFrequency (%)
0 14
2.4%
1 3
 
0.5%
2 5
 
0.9%
3 8
1.4%
4 3
 
0.5%
ValueCountFrequency (%)
183 1
0.2%
179 1
0.2%
177 1
0.2%
173 1
0.2%
172 1
0.2%

5-ordered path count
Real number (ℝ)

Distinct75
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.42538593
Minimum0
Maximum267
Zeros34
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:44.343424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median18
Q330
95-th percentile58
Maximum267
Range267
Interquartile range (IQR)20

Descriptive statistics

Standard deviation27.43760508
Coefficient of variation (CV)1.171276544
Kurtosis45.34282912
Mean23.42538593
Median Absolute Deviation (MAD)10
Skewness5.739871055
Sum13657
Variance752.8221723
MonotonicityNot monotonic
2023-02-02T09:41:44.950821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
5.8%
12 31
 
5.3%
8 30
 
5.1%
18 27
 
4.6%
10 23
 
3.9%
24 22
 
3.8%
26 21
 
3.6%
14 20
 
3.4%
32 18
 
3.1%
15 17
 
2.9%
Other values (65) 340
58.3%
ValueCountFrequency (%)
0 34
5.8%
1 3
 
0.5%
2 17
2.9%
3 1
 
0.2%
4 14
2.4%
ValueCountFrequency (%)
267 1
0.2%
262 1
0.2%
260 1
0.2%
254 1
0.2%
253 1
0.2%

6-ordered path count
Real number (ℝ)

Distinct65
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.40651801
Minimum0
Maximum363
Zeros64
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:45.488201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median11
Q321
95-th percentile46
Maximum363
Range363
Interquartile range (IQR)15

Descriptive statistics

Standard deviation34.50291723
Coefficient of variation (CV)1.874494525
Kurtosis73.63885707
Mean18.40651801
Median Absolute Deviation (MAD)8
Skewness7.939483234
Sum10731
Variance1190.451298
MonotonicityNot monotonic
2023-02-02T09:41:46.057446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
11.0%
9 49
 
8.4%
6 42
 
7.2%
8 31
 
5.3%
3 27
 
4.6%
10 22
 
3.8%
15 21
 
3.6%
19 21
 
3.6%
2 19
 
3.3%
18 17
 
2.9%
Other values (55) 270
46.3%
ValueCountFrequency (%)
0 64
11.0%
1 8
 
1.4%
2 19
 
3.3%
3 27
4.6%
4 14
 
2.4%
ValueCountFrequency (%)
363 1
0.2%
353 2
0.3%
347 1
0.2%
346 1
0.2%
113 1
0.2%

7-ordered path count
Real number (ℝ)

Distinct58
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.44253859
Minimum0
Maximum459
Zeros173
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:46.626934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q316
95-th percentile41.9
Maximum459
Range459
Interquartile range (IQR)16

Descriptive statistics

Standard deviation42.95737968
Coefficient of variation (CV)2.974364888
Kurtosis86.8574016
Mean14.44253859
Median Absolute Deviation (MAD)6
Skewness8.911928901
Sum8420
Variance1845.336469
MonotonicityNot monotonic
2023-02-02T09:41:47.153450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
29.7%
6 48
 
8.2%
4 48
 
8.2%
12 27
 
4.6%
2 26
 
4.5%
3 26
 
4.5%
8 26
 
4.5%
18 24
 
4.1%
10 12
 
2.1%
14 11
 
1.9%
Other values (48) 162
27.8%
ValueCountFrequency (%)
0 173
29.7%
1 11
 
1.9%
2 26
 
4.5%
3 26
 
4.5%
4 48
 
8.2%
ValueCountFrequency (%)
459 1
0.2%
448 2
0.3%
442 1
0.2%
440 1
0.2%
120 2
0.3%

8-ordered path count
Real number (ℝ)

Distinct55
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.75643225
Minimum0
Maximum519
Zeros247
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:47.721506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile39
Maximum519
Range519
Interquartile range (IQR)11

Descriptive statistics

Standard deviation48.08900349
Coefficient of variation (CV)3.76978473
Kurtosis93.45191689
Mean12.75643225
Median Absolute Deviation (MAD)2
Skewness9.375922954
Sum7437
Variance2312.552257
MonotonicityNot monotonic
2023-02-02T09:41:48.279166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 247
42.4%
2 36
 
6.2%
4 30
 
5.1%
3 30
 
5.1%
6 27
 
4.6%
12 14
 
2.4%
9 14
 
2.4%
10 13
 
2.2%
27 12
 
2.1%
5 11
 
1.9%
Other values (45) 149
25.6%
ValueCountFrequency (%)
0 247
42.4%
1 10
 
1.7%
2 36
 
6.2%
3 30
 
5.1%
4 30
 
5.1%
ValueCountFrequency (%)
519 1
0.2%
507 2
0.3%
500 1
0.2%
498 1
0.2%
120 2
0.3%

9-ordered path count
Real number (ℝ)

Distinct48
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.89879931
Minimum0
Maximum651
Zeros345
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:49.118135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile35.8
Maximum651
Range651
Interquartile range (IQR)8

Descriptive statistics

Standard deviation59.50562405
Coefficient of variation (CV)5.000977198
Kurtosis102.6869374
Mean11.89879931
Median Absolute Deviation (MAD)0
Skewness10.00275931
Sum6937
Variance3540.919294
MonotonicityNot monotonic
2023-02-02T09:41:49.628261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 345
59.2%
2 28
 
4.8%
6 21
 
3.6%
1 14
 
2.4%
18 14
 
2.4%
27 13
 
2.2%
4 12
 
2.1%
3 12
 
2.1%
16 11
 
1.9%
12 10
 
1.7%
Other values (38) 103
 
17.7%
ValueCountFrequency (%)
0 345
59.2%
1 14
 
2.4%
2 28
 
4.8%
3 12
 
2.1%
4 12
 
2.1%
ValueCountFrequency (%)
651 1
0.2%
638 2
0.3%
630 1
0.2%
627 1
0.2%
96 2
0.3%

10-ordered path count
Real number (ℝ)

Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.32246998
Minimum0
Maximum741
Zeros401
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:50.205664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile29.8
Maximum741
Range741
Interquartile range (IQR)5

Descriptive statistics

Standard deviation67.73240982
Coefficient of variation (CV)5.982123152
Kurtosis107.0833292
Mean11.32246998
Median Absolute Deviation (MAD)0
Skewness10.30428031
Sum6601
Variance4587.67934
MonotonicityNot monotonic
2023-02-02T09:41:50.710359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 401
68.8%
3 19
 
3.3%
21 16
 
2.7%
15 13
 
2.2%
17 11
 
1.9%
5 9
 
1.5%
6 8
 
1.4%
2 8
 
1.4%
11 8
 
1.4%
18 6
 
1.0%
Other values (36) 84
 
14.4%
ValueCountFrequency (%)
0 401
68.8%
1 3
 
0.5%
2 8
 
1.4%
3 19
 
3.3%
4 2
 
0.3%
ValueCountFrequency (%)
741 1
0.2%
733 2
0.3%
723 1
0.2%
720 1
0.2%
72 2
0.3%
Distinct269
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.9451115
Minimum12
Maximum3627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:51.292974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile43.2
Q1100.5
median158
Q3242
95-th percentile434.2
Maximum3627
Range3615
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation332.593036
Coefficient of variation (CV)1.533074581
Kurtosis81.71874483
Mean216.9451115
Median Absolute Deviation (MAD)67
Skewness8.509658059
Sum126479
Variance110618.1276
MonotonicityNot monotonic
2023-02-02T09:41:51.831203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 10
 
1.7%
156 8
 
1.4%
121 8
 
1.4%
165 8
 
1.4%
151 8
 
1.4%
133 7
 
1.2%
96 7
 
1.2%
175 7
 
1.2%
73 7
 
1.2%
100 7
 
1.2%
Other values (259) 506
86.8%
ValueCountFrequency (%)
12 1
 
0.2%
16 4
0.7%
20 1
 
0.2%
21 4
0.7%
25 3
0.5%
ValueCountFrequency (%)
3627 1
0.2%
3534 1
0.2%
3532 1
0.2%
3461 1
0.2%
3444 1
0.2%
Distinct87
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.122101413
Minimum1.791759469
Maximum4.584967479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:52.493678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.791759469
5-th percentile2.397895273
Q12.862200881
median3.17805383
Q33.384390263
95-th percentile3.724481291
Maximum4.584967479
Range2.793208009
Interquartile range (IQR)0.5221893824

Descriptive statistics

Standard deviation0.411652221
Coefficient of variation (CV)0.1318510089
Kurtosis0.9370459113
Mean3.122101413
Median Absolute Deviation (MAD)0.2396728533
Skewness-0.2005111407
Sum1820.185124
Variance0.1694575511
MonotonicityNot monotonic
2023-02-02T09:41:53.032449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.33220451 25
 
4.3%
2.708050201 24
 
4.1%
3.218875825 22
 
3.8%
3.295836866 22
 
3.8%
2.772588722 20
 
3.4%
3.258096538 18
 
3.1%
3.36729583 18
 
3.1%
2.944438979 17
 
2.9%
2.995732274 16
 
2.7%
3.17805383 16
 
2.7%
Other values (77) 385
66.0%
ValueCountFrequency (%)
1.791759469 2
 
0.3%
1.945910149 4
0.7%
2.079441542 3
 
0.5%
2.197224577 8
1.4%
2.302585093 9
1.5%
ValueCountFrequency (%)
4.584967479 1
0.2%
4.543294782 1
0.2%
4.537961436 1
0.2%
4.471638793 1
0.2%
4.460144414 1
0.2%
Distinct167
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.546775534
Minimum1.386294361
Maximum5.154735638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:53.626490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.386294361
5-th percentile2.63905733
Q13.258096538
median3.617651945
Q33.917010547
95-th percentile4.290459441
Maximum5.154735638
Range3.768441277
Interquartile range (IQR)0.6589140089

Descriptive statistics

Standard deviation0.5387748308
Coefficient of variation (CV)0.1519055338
Kurtosis1.071108869
Mean3.546775534
Median Absolute Deviation (MAD)0.3218150788
Skewness-0.5126966064
Sum2067.770136
Variance0.2902783183
MonotonicityNot monotonic
2023-02-02T09:41:54.224093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.890371758 16
 
2.7%
2.944438979 14
 
2.4%
3.33220451 14
 
2.4%
3.465735903 13
 
2.2%
2.833213344 12
 
2.1%
3.135494216 10
 
1.7%
3.63758616 10
 
1.7%
2.995732274 9
 
1.5%
3.36729583 9
 
1.5%
3.912023005 9
 
1.5%
Other values (157) 467
80.1%
ValueCountFrequency (%)
1.386294361 1
 
0.2%
1.609437912 1
 
0.2%
1.945910149 6
1.0%
2.079441542 4
0.7%
2.197224577 1
 
0.2%
ValueCountFrequency (%)
5.154735638 1
0.2%
5.150397236 1
0.2%
5.147494477 1
0.2%
5.119489699 1
0.2%
5.11349268 1
0.2%
Distinct214
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.530815031
Minimum0
Maximum5.645005104
Zeros7
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:54.840059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.197224577
Q13.135494216
median3.66035137
Q34.007333185
95-th percentile4.591389514
Maximum5.645005104
Range5.645005104
Interquartile range (IQR)0.8718389693

Descriptive statistics

Standard deviation0.810548627
Coefficient of variation (CV)0.2295641714
Kurtosis3.98371846
Mean3.530815031
Median Absolute Deviation (MAD)0.4022548325
Skewness-1.310158575
Sum2058.465163
Variance0.6569890767
MonotonicityNot monotonic
2023-02-02T09:41:55.409439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.708050201 21
 
3.6%
2.833213344 14
 
2.4%
2.944438979 12
 
2.1%
2.772588722 11
 
1.9%
3.496507561 10
 
1.7%
2.995732274 10
 
1.7%
3.401197382 10
 
1.7%
3.135494216 9
 
1.5%
3.218875825 9
 
1.5%
3.36729583 9
 
1.5%
Other values (204) 468
80.3%
ValueCountFrequency (%)
0 7
1.2%
0.6931471806 2
 
0.3%
1.098612289 2
 
0.3%
1.386294361 4
0.7%
1.609437912 3
0.5%
ValueCountFrequency (%)
5.645005104 1
0.2%
5.641020153 1
0.2%
5.623566141 1
0.2%
5.619947865 1
0.2%
5.602118821 1
0.2%
Distinct216
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.557403725
Minimum0
Maximum6.222700268
Zeros14
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:55.969560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.609437912
Q13.135494216
median3.761200116
Q34.142617759
95-th percentile4.815934501
Maximum6.222700268
Range6.222700268
Interquartile range (IQR)1.007123544

Descriptive statistics

Standard deviation1.02188151
Coefficient of variation (CV)0.2872548604
Kurtosis2.541961894
Mean3.557403725
Median Absolute Deviation (MAD)0.5031035777
Skewness-1.14930423
Sum2073.966372
Variance1.044241821
MonotonicityNot monotonic
2023-02-02T09:41:56.520845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.555348061 14
 
2.4%
0 14
 
2.4%
2.772588722 13
 
2.2%
3.044522438 13
 
2.2%
3.218875825 13
 
2.2%
3.465735903 11
 
1.9%
3.923210195 11
 
1.9%
2.833213344 10
 
1.7%
2.708050201 10
 
1.7%
1.791759469 9
 
1.5%
Other values (206) 465
79.8%
ValueCountFrequency (%)
0 14
2.4%
0.6931471806 2
 
0.3%
1.098612289 5
 
0.9%
1.386294361 8
1.4%
1.609437912 2
 
0.3%
ValueCountFrequency (%)
6.222700268 1
0.2%
6.214858067 1
0.2%
6.210725571 1
0.2%
6.208715773 1
0.2%
6.160151913 1
0.2%
Distinct204
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.341684538
Minimum0
Maximum6.856132983
Zeros34
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:57.095079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.708050201
median3.555348061
Q34.061519437
95-th percentile5.096162609
Maximum6.856132983
Range6.856132983
Interquartile range (IQR)1.353469236

Descriptive statistics

Standard deviation1.288672798
Coefficient of variation (CV)0.3856356828
Kurtosis1.101379396
Mean3.341684538
Median Absolute Deviation (MAD)0.6649763036
Skewness-0.7464499859
Sum1948.202085
Variance1.660677581
MonotonicityNot monotonic
2023-02-02T09:41:57.622326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
5.8%
2.197224577 22
 
3.8%
3.433987204 22
 
3.8%
3.218875825 16
 
2.7%
2.48490665 15
 
2.6%
3.515269838 15
 
2.6%
3.716616209 14
 
2.4%
2.564949357 12
 
2.1%
1.609437912 11
 
1.9%
1.945910149 10
 
1.7%
Other values (194) 412
70.7%
ValueCountFrequency (%)
0 34
5.8%
0.6931471806 3
 
0.5%
1.098612289 9
 
1.5%
1.386294361 1
 
0.2%
1.609437912 11
 
1.9%
ValueCountFrequency (%)
6.856132983 1
0.2%
6.824237791 1
0.2%
6.817693801 1
0.2%
6.81659896 1
0.2%
6.801004909 1
0.2%
Distinct162
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.847644806
Minimum0
Maximum7.261620028
Zeros64
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:58.240056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.197224577
median3.091042453
Q33.731681523
95-th percentile4.982125663
Maximum7.261620028
Range7.261620028
Interquartile range (IQR)1.534456945

Descriptive statistics

Standard deviation1.466724564
Coefficient of variation (CV)0.5150658399
Kurtosis0.2464020395
Mean2.847644806
Median Absolute Deviation (MAD)0.7884573604
Skewness-0.2133804918
Sum1660.176922
Variance2.151280946
MonotonicityNot monotonic
2023-02-02T09:41:58.916392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64
 
11.0%
2.302585093 45
 
7.7%
1.945910149 25
 
4.3%
3.33220451 24
 
4.1%
2.772588722 15
 
2.6%
1.098612289 15
 
2.6%
2.674148649 15
 
2.6%
3.157000421 13
 
2.2%
1.609437912 13
 
2.2%
3.688879454 13
 
2.2%
Other values (152) 341
58.5%
ValueCountFrequency (%)
0 64
11.0%
0.6931471806 8
 
1.4%
1.098612289 15
 
2.6%
1.386294361 12
 
2.1%
1.609437912 13
 
2.2%
ValueCountFrequency (%)
7.261620028 1
0.2%
7.25488481 1
0.2%
7.250635512 1
0.2%
7.249925537 1
0.2%
7.247792582 1
0.2%
Distinct133
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.20553395
Minimum0
Maximum7.789790948
Zeros173
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:41:59.925625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.302585093
Q33.610917913
95-th percentile4.817702595
Maximum7.789790948
Range7.789790948
Interquartile range (IQR)3.610917913

Descriptive statistics

Standard deviation1.80981538
Coefficient of variation (CV)0.8205792434
Kurtosis-0.482472254
Mean2.20553395
Median Absolute Deviation (MAD)1.410986974
Skewness0.3228685646
Sum1285.826293
Variance3.275431708
MonotonicityNot monotonic
2023-02-02T09:42:00.686910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
29.7%
1.609437912 33
 
5.7%
1.945910149 25
 
4.3%
1.098612289 23
 
3.9%
3.157000421 15
 
2.6%
2.564949357 15
 
2.6%
3.610917913 13
 
2.2%
2.674148649 12
 
2.1%
2.944438979 12
 
2.1%
3.33220451 10
 
1.7%
Other values (123) 252
43.2%
ValueCountFrequency (%)
0 173
29.7%
0.6931471806 6
 
1.0%
1.098612289 23
 
3.9%
1.386294361 8
 
1.4%
1.47590652 1
 
0.2%
ValueCountFrequency (%)
7.789790948 1
0.2%
7.785824798 1
0.2%
7.783328178 1
0.2%
7.782077526 2
0.3%
6.815914075 2
0.3%
Distinct111
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.778541469
Minimum0
Maximum8.171511175
Zeros247
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:01.506123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.386294361
Q33.375843047
95-th percentile4.953691745
Maximum8.171511175
Range8.171511175
Interquartile range (IQR)3.375843047

Descriptive statistics

Standard deviation1.887076588
Coefficient of variation (CV)1.06102479
Kurtosis0.1276889333
Mean1.778541469
Median Absolute Deviation (MAD)1.386294361
Skewness0.81310866
Sum1036.889677
Variance3.56105805
MonotonicityNot monotonic
2023-02-02T09:42:02.286778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 247
42.4%
1.098612289 33
 
5.7%
1.609437912 16
 
2.7%
2.674148649 15
 
2.6%
3.33220451 14
 
2.4%
1.945910149 13
 
2.2%
3.526360525 11
 
1.9%
1.386294361 11
 
1.9%
2.302585093 9
 
1.5%
2.397895273 9
 
1.5%
Other values (101) 205
35.2%
ValueCountFrequency (%)
0 247
42.4%
0.6931471806 6
 
1.0%
1.098612289 33
 
5.7%
1.386294361 11
 
1.9%
1.609437912 16
 
2.7%
ValueCountFrequency (%)
8.171511175 1
0.2%
8.168805244 1
0.2%
8.16653582 2
0.3%
8.165257002 1
0.2%
7.22101372 2
0.3%
Distinct92
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.353597135
Minimum0
Maximum8.647223149
Zeros345
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:03.028202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.135494216
95-th percentile4.999690812
Maximum8.647223149
Range8.647223149
Interquartile range (IQR)3.135494216

Descriptive statistics

Standard deviation1.913222941
Coefficient of variation (CV)1.413436015
Kurtosis1.205130007
Mean1.353597135
Median Absolute Deviation (MAD)0
Skewness1.314025465
Sum789.14713
Variance3.660422021
MonotonicityNot monotonic
2023-02-02T09:42:03.823244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 345
59.2%
1.098612289 19
 
3.3%
3.33220451 15
 
2.6%
1.945910149 11
 
1.9%
3.610917913 10
 
1.7%
1.609437912 9
 
1.5%
2.197224577 8
 
1.4%
3.433987204 8
 
1.4%
1.802122256 7
 
1.2%
2.784239339 7
 
1.2%
Other values (82) 144
24.7%
ValueCountFrequency (%)
0 345
59.2%
0.6931471806 2
 
0.3%
1.098612289 19
 
3.3%
1.386294361 4
 
0.7%
1.47590652 4
 
0.7%
ValueCountFrequency (%)
8.647223149 1
0.2%
8.64554243 1
0.2%
8.644310306 1
0.2%
8.643517425 1
0.2%
8.641929773 1
0.2%
Distinct82
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.101910855
Minimum0
Maximum9.041903229
Zeros401
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:04.583732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.249904835
95-th percentile4.961094849
Maximum9.041903229
Range9.041903229
Interquartile range (IQR)2.249904835

Descriptive statistics

Standard deviation1.882088031
Coefficient of variation (CV)1.708022045
Kurtosis2.720355791
Mean1.101910855
Median Absolute Deviation (MAD)0
Skewness1.742276985
Sum642.4140282
Variance3.542255358
MonotonicityNot monotonic
2023-02-02T09:42:05.145644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 401
68.8%
3.091042453 13
 
2.2%
1.386294361 12
 
2.1%
3.33220451 10
 
1.7%
1.791759469 8
 
1.4%
1.945910149 7
 
1.2%
2.772588722 7
 
1.2%
3.63758616 6
 
1.0%
2.944438979 5
 
0.9%
2.674148649 5
 
0.9%
Other values (72) 109
 
18.7%
ValueCountFrequency (%)
0 401
68.8%
0.6931471806 3
 
0.5%
1.098612289 4
 
0.7%
1.386294361 12
 
2.1%
1.791759469 8
 
1.4%
ValueCountFrequency (%)
9.041903229 1
0.2%
9.04077091 1
0.2%
9.039348145 1
0.2%
9.038457888 1
0.2%
9.036853425 1
0.2%
Distinct406
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.516028732
Minimum2.708050201
Maximum10.06846292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:05.673626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.708050201
5-th percentile3.955017751
Q14.969789186
median5.500492611
Q36.011636112
95-th percentile7.030330941
Maximum10.06846292
Range7.360412715
Interquartile range (IQR)1.041846926

Descriptive statistics

Standard deviation1.00265913
Coefficient of variation (CV)0.1817719194
Kurtosis3.758930779
Mean5.516028732
Median Absolute Deviation (MAD)0.5181006031
Skewness0.8823612188
Sum3215.844751
Variance1.005325331
MonotonicityNot monotonic
2023-02-02T09:42:06.245093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.38907173 9
 
1.5%
4.262679877 7
 
1.2%
4.804021045 7
 
1.2%
5.472270674 7
 
1.2%
4.406719247 6
 
1.0%
5.351858133 6
 
1.0%
5.023880521 5
 
0.9%
4.521788577 5
 
0.9%
5.356586275 5
 
0.9%
5.429345629 5
 
0.9%
Other values (396) 521
89.4%
ValueCountFrequency (%)
2.708050201 1
0.2%
2.944438979 1
0.2%
2.995732274 2
0.3%
3.044522438 1
0.2%
3.091042453 1
0.2%
ValueCountFrequency (%)
10.06846292 1
0.2%
10.06539247 1
0.2%
10.06168583 1
0.2%
10.06120285 1
0.2%
10.06010528 1
0.2%

atomic polarizability
Real number (ℝ)

Distinct526
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.92005879
Minimum11.557965
Maximum156.696338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:06.844136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11.557965
5-th percentile21.3181679
Q133.362723
median42.255102
Q352.3512215
95-th percentile83.5815946
Maximum156.696338
Range145.138373
Interquartile range (IQR)18.9884985

Descriptive statistics

Standard deviation19.58543999
Coefficient of variation (CV)0.4265116489
Kurtosis3.424453516
Mean45.92005879
Median Absolute Deviation (MAD)9.413172
Skewness1.472507275
Sum26771.39428
Variance383.5894597
MonotonicityNot monotonic
2023-02-02T09:42:07.371007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.589446 4
 
0.7%
41.050688 3
 
0.5%
44.054274 3
 
0.5%
38.578688 3
 
0.5%
44.58586 3
 
0.5%
42.351895 3
 
0.5%
48.867376 2
 
0.3%
34.208895 2
 
0.3%
50.132239 2
 
0.3%
39.348309 2
 
0.3%
Other values (516) 556
95.4%
ValueCountFrequency (%)
11.557965 1
0.2%
12.883965 1
0.2%
13.280344 1
0.2%
13.715137 1
0.2%
15.032344 1
0.2%
ValueCountFrequency (%)
156.696338 1
0.2%
127.430099 1
0.2%
127.333306 1
0.2%
119.201924 1
0.2%
117.949854 1
0.2%

bond polarizability
Real number (ℝ)

Distinct472
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.8350527
Minimum5.314035
Maximum100.643662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:07.952573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.314035
5-th percentile14.7813668
Q128.662968
median36.68814
Q345.208296
95-th percentile64.0634742
Maximum100.643662
Range95.329627
Interquartile range (IQR)16.545328

Descriptive statistics

Standard deviation14.91109661
Coefficient of variation (CV)0.394107991
Kurtosis1.083069653
Mean37.8350527
Median Absolute Deviation (MAD)8.106828
Skewness0.6618070175
Sum22057.83572
Variance222.3408021
MonotonicityNot monotonic
2023-02-02T09:42:08.495206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.480554 5
 
0.9%
39.461312 5
 
0.9%
34.382624 4
 
0.7%
41.197312 4
 
0.7%
43.47414 4
 
0.7%
41.467726 4
 
0.7%
34.519417 4
 
0.7%
32.877761 3
 
0.5%
22.34414 3
 
0.5%
20.337726 3
 
0.5%
Other values (462) 544
93.3%
ValueCountFrequency (%)
5.314035 1
0.2%
6.208035 1
0.2%
7.779656 1
0.2%
9.302449 2
0.3%
9.624863 1
0.2%
ValueCountFrequency (%)
100.643662 1
0.2%
97.188076 1
0.2%
94.496076 1
0.2%
91.628076 1
0.2%
84.083732 1
0.2%

ring count
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7392795883
Minimum0
Maximum5
Zeros214
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:08.924316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7442453885
Coefficient of variation (CV)1.00671708
Kurtosis8.93212774
Mean0.7392795883
Median Absolute Deviation (MAD)0
Skewness2.068082645
Sum431
Variance0.5539011983
MonotonicityNot monotonic
2023-02-02T09:42:09.327898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 333
57.1%
0 214
36.7%
2 23
 
3.9%
4 5
 
0.9%
5 4
 
0.7%
3 4
 
0.7%
ValueCountFrequency (%)
0 214
36.7%
1 333
57.1%
2 23
 
3.9%
3 4
 
0.7%
4 5
 
0.9%
ValueCountFrequency (%)
5 4
 
0.7%
4 5
 
0.9%
3 4
 
0.7%
2 23
 
3.9%
1 333
57.1%

3-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:09.714102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:10.071878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:10.516314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:10.868748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4476843911
Minimum0
Maximum1
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:11.230275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4976825572
Coefficient of variation (CV)1.111681727
Kurtosis-1.962238991
Mean0.4476843911
Median Absolute Deviation (MAD)0
Skewness0.2109605664
Sum261
Variance0.2476879277
MonotonicityNot monotonic
2023-02-02T09:42:11.639135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 322
55.2%
1 261
44.8%
ValueCountFrequency (%)
0 322
55.2%
1 261
44.8%
ValueCountFrequency (%)
1 261
44.8%
0 322
55.2%

6-membered ring count
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2915951973
Minimum0
Maximum5
Zeros454
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:12.037854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6714972966
Coefficient of variation (CV)2.302840729
Kurtosis14.85054675
Mean0.2915951973
Median Absolute Deviation (MAD)0
Skewness3.405027533
Sum170
Variance0.4509086194
MonotonicityNot monotonic
2023-02-02T09:42:12.412539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 454
77.9%
1 108
 
18.5%
2 10
 
1.7%
4 7
 
1.2%
3 3
 
0.5%
5 1
 
0.2%
ValueCountFrequency (%)
0 454
77.9%
1 108
 
18.5%
2 10
 
1.7%
3 3
 
0.5%
4 7
 
1.2%
ValueCountFrequency (%)
5 1
 
0.2%
4 7
 
1.2%
3 3
 
0.5%
2 10
 
1.7%
1 108
18.5%

7-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:12.837552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:13.527741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:13.932344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:14.401522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:14.824138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:15.196158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:15.590514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:15.959959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:16.334707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:16.694355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:17.114421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:17.461908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:17.833051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:18.199309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

hetero ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5797598628
Minimum0
Maximum1
Zeros245
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:18.584810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4940212414
Coefficient of variation (CV)0.8521135613
Kurtosis-1.901551336
Mean0.5797598628
Median Absolute Deviation (MAD)0
Skewness-0.3240120736
Sum338
Variance0.2440569869
MonotonicityNot monotonic
2023-02-02T09:42:18.987400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 338
58.0%
0 245
42.0%
ValueCountFrequency (%)
0 245
42.0%
1 338
58.0%
ValueCountFrequency (%)
1 338
58.0%
0 245
42.0%

3-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:19.376709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:19.740242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:20.123133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:20.488383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4476843911
Minimum0
Maximum1
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:20.871232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4976825572
Coefficient of variation (CV)1.111681727
Kurtosis-1.962238991
Mean0.4476843911
Median Absolute Deviation (MAD)0
Skewness0.2109605664
Sum261
Variance0.2476879277
MonotonicityNot monotonic
2023-02-02T09:42:21.234655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 322
55.2%
1 261
44.8%
ValueCountFrequency (%)
0 322
55.2%
1 261
44.8%
ValueCountFrequency (%)
1 261
44.8%
0 322
55.2%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1320754717
Minimum0
Maximum1
Zeros506
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:21.594016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3388635461
Coefficient of variation (CV)2.565681135
Kurtosis2.757468696
Mean0.1320754717
Median Absolute Deviation (MAD)0
Skewness2.178995375
Sum77
Variance0.1148285029
MonotonicityNot monotonic
2023-02-02T09:42:21.964619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 506
86.8%
1 77
 
13.2%
ValueCountFrequency (%)
0 506
86.8%
1 77
 
13.2%
ValueCountFrequency (%)
1 77
 
13.2%
0 506
86.8%

7-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:22.399120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:22.767589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:23.151482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:23.538969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:23.968231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:24.341678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:24.779463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:25.181011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:25.553275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:25.895611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:26.272206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:26.613110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:27.023171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:27.359742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

aromatic ring count
Real number (ℝ)

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5042881647
Minimum0
Maximum5
Zeros349
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:27.770128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7774078874
Coefficient of variation (CV)1.541594552
Kurtosis9.701227747
Mean0.5042881647
Median Absolute Deviation (MAD)0
Skewness2.528743992
Sum294
Variance0.6043630233
MonotonicityNot monotonic
2023-02-02T09:42:28.187993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 349
59.9%
1 200
34.3%
2 21
 
3.6%
4 5
 
0.9%
5 4
 
0.7%
3 4
 
0.7%
ValueCountFrequency (%)
0 349
59.9%
1 200
34.3%
2 21
 
3.6%
3 4
 
0.7%
4 5
 
0.9%
ValueCountFrequency (%)
5 4
 
0.7%
4 5
 
0.9%
3 4
 
0.7%
2 21
 
3.6%
1 200
34.3%

3-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:28.646433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:29.151705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:29.565793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:29.940724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2933104631
Minimum0
Maximum1
Zeros412
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:30.323064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4556704792
Coefficient of variation (CV)1.553543213
Kurtosis-1.175377002
Mean0.2933104631
Median Absolute Deviation (MAD)0
Skewness0.9103114737
Sum171
Variance0.2076355856
MonotonicityNot monotonic
2023-02-02T09:42:30.753921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 412
70.7%
1 171
29.3%
ValueCountFrequency (%)
0 412
70.7%
1 171
29.3%
ValueCountFrequency (%)
1 171
29.3%
0 412
70.7%
Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2109777015
Minimum0
Maximum5
Zeros501
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:31.123725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6408887497
Coefficient of variation (CV)3.037708464
Kurtosis20.41935955
Mean0.2109777015
Median Absolute Deviation (MAD)0
Skewness4.180167247
Sum123
Variance0.4107383895
MonotonicityNot monotonic
2023-02-02T09:42:31.520778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 501
85.9%
1 61
 
10.5%
2 10
 
1.7%
4 7
 
1.2%
3 3
 
0.5%
5 1
 
0.2%
ValueCountFrequency (%)
0 501
85.9%
1 61
 
10.5%
2 10
 
1.7%
3 3
 
0.5%
4 7
 
1.2%
ValueCountFrequency (%)
5 1
 
0.2%
4 7
 
1.2%
3 3
 
0.5%
2 10
 
1.7%
1 61
10.5%

7-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:31.938112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:32.328929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:32.909329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:33.364840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:33.923674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:34.544998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:35.350113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:36.094146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:36.629273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:37.055147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:37.451353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:37.816829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aromatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:38.563272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:38.928479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3636363636
Minimum0
Maximum1
Zeros371
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:39.302900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.481458785
Coefficient of variation (CV)1.324011659
Kurtosis-1.682694183
Mean0.3636363636
Median Absolute Deviation (MAD)0
Skewness0.568410218
Sum212
Variance0.2318025617
MonotonicityNot monotonic
2023-02-02T09:42:39.701140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
63.6%
1 212
36.4%
ValueCountFrequency (%)
0 371
63.6%
1 212
36.4%
ValueCountFrequency (%)
1 212
36.4%
0 371
63.6%

3-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:40.117572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:40.471277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:40.860523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:41.254886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2933104631
Minimum0
Maximum1
Zeros412
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:41.622946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4556704792
Coefficient of variation (CV)1.553543213
Kurtosis-1.175377002
Mean0.2933104631
Median Absolute Deviation (MAD)0
Skewness0.9103114737
Sum171
Variance0.2076355856
MonotonicityNot monotonic
2023-02-02T09:42:41.995613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 412
70.7%
1 171
29.3%
ValueCountFrequency (%)
0 412
70.7%
1 171
29.3%
ValueCountFrequency (%)
1 171
29.3%
0 412
70.7%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07032590051
Minimum0
Maximum1
Zeros542
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:42.385464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2559150353
Coefficient of variation (CV)3.638986965
Kurtosis9.385734007
Mean0.07032590051
Median Absolute Deviation (MAD)0
Skewness3.369502567
Sum41
Variance0.06549250529
MonotonicityNot monotonic
2023-02-02T09:42:42.748549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 542
93.0%
1 41
 
7.0%
ValueCountFrequency (%)
0 542
93.0%
1 41
 
7.0%
ValueCountFrequency (%)
1 41
 
7.0%
0 542
93.0%

7-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:43.136964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:43.509304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:43.985071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:44.376226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:44.798429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:45.203914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:45.632328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:46.007862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:46.408228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:46.793626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:47.174613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:47.521788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aromatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:47.903073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:48.303131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

aliphatic ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2349914237
Minimum0
Maximum1
Zeros446
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:48.674862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4243575596
Coefficient of variation (CV)1.805842754
Kurtosis-0.4307621846
Mean0.2349914237
Median Absolute Deviation (MAD)0
Skewness1.253286622
Sum137
Variance0.1800793384
MonotonicityNot monotonic
2023-02-02T09:42:49.042677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 446
76.5%
1 137
 
23.5%
ValueCountFrequency (%)
0 446
76.5%
1 137
 
23.5%
ValueCountFrequency (%)
1 137
 
23.5%
0 446
76.5%

3-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:49.447271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:49.799049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:50.204331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:50.558571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.154373928
Minimum0
Maximum1
Zeros493
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:50.953864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.361617088
Coefficient of variation (CV)2.342475137
Kurtosis1.685024193
Mean0.154373928
Median Absolute Deviation (MAD)0
Skewness1.91813853
Sum90
Variance0.1307669184
MonotonicityNot monotonic
2023-02-02T09:42:51.327363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 493
84.6%
1 90
 
15.4%
ValueCountFrequency (%)
0 493
84.6%
1 90
 
15.4%
ValueCountFrequency (%)
1 90
 
15.4%
0 493
84.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08061749571
Minimum0
Maximum1
Zeros536
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:51.700575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2724805794
Coefficient of variation (CV)3.379918676
Kurtosis7.566956923
Mean0.08061749571
Median Absolute Deviation (MAD)0
Skewness3.088852517
Sum47
Variance0.07424566615
MonotonicityNot monotonic
2023-02-02T09:42:52.120525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 536
91.9%
1 47
 
8.1%
ValueCountFrequency (%)
0 536
91.9%
1 47
 
8.1%
ValueCountFrequency (%)
1 47
 
8.1%
0 536
91.9%

7-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:52.533643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:52.887313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:53.249991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:53.611457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:53.980208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:54.389571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:54.844540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:55.191667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:55.607757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:55.959057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:56.349287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:56.705865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aliphatic ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:57.077388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:57.459371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2161234991
Minimum0
Maximum1
Zeros457
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:57.833060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4119529364
Coefficient of variation (CV)1.906099698
Kurtosis-0.08778178048
Mean0.2161234991
Median Absolute Deviation (MAD)0
Skewness1.38294293
Sum126
Variance0.1697052218
MonotonicityNot monotonic
2023-02-02T09:42:58.211878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 457
78.4%
1 126
 
21.6%
ValueCountFrequency (%)
0 457
78.4%
1 126
 
21.6%
ValueCountFrequency (%)
1 126
 
21.6%
0 457
78.4%

3-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:58.628454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:59.021677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:42:59.486379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:42:59.932106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.154373928
Minimum0
Maximum1
Zeros493
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:00.538581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.361617088
Coefficient of variation (CV)2.342475137
Kurtosis1.685024193
Mean0.154373928
Median Absolute Deviation (MAD)0
Skewness1.91813853
Sum90
Variance0.1307669184
MonotonicityNot monotonic
2023-02-02T09:43:01.128580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 493
84.6%
1 90
 
15.4%
ValueCountFrequency (%)
0 493
84.6%
1 90
 
15.4%
ValueCountFrequency (%)
1 90
 
15.4%
0 493
84.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06174957118
Minimum0
Maximum1
Zeros547
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:01.696781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2409068471
Coefficient of variation (CV)3.901352552
Kurtosis11.36779204
Mean0.06174957118
Median Absolute Deviation (MAD)0
Skewness3.650863737
Sum36
Variance0.058036109
MonotonicityNot monotonic
2023-02-02T09:43:02.144370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 547
93.8%
1 36
 
6.2%
ValueCountFrequency (%)
0 547
93.8%
1 36
 
6.2%
ValueCountFrequency (%)
1 36
 
6.2%
0 547
93.8%

7-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:02.659234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:03.100127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:03.588418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:04.079752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:04.573765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:05.450455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:05.910956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:06.395184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:06.818829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:07.203063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:07.613687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:07.968743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aliphatic hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:08.361882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:08.734768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

fused ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:09.123736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:09.588008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

4-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:09.960630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:10.349547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:10.756973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:11.115992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:11.508788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:11.853586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:12.199408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:12.585380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:12.996426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:13.326874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:13.759666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:14.191209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

10-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:14.608951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:15.023043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:15.463244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:15.905024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:16.318016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:16.690583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:17.058251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:17.412941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

fused hetero ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:17.813895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:18.198435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

4-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:18.655635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:19.049375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:19.420179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:19.797065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:20.161475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:20.521242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:20.926073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:21.315911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:21.689739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:22.048727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:22.441147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:22.807252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

10-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:23.202869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:23.561932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:23.967907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:24.368742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:24.764816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:25.171062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:25.553020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:25.936874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

aromatic fused ring count
Real number (ℝ)

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:26.368948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:26.745797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

4-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:27.177307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:27.545527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:27.926626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:28.280684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:28.636028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:28.997071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:29.385893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:29.758181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:30.468967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:30.824613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:31.246737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:31.681677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

10-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:32.083754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:32.492679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:32.900701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:33.263628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:33.621925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:33.989258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aromatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:34.367715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:34.774499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:35.252574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:35.649236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

4-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:36.075609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:36.463806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:36.869268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:37.214714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:37.596751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:37.989940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:38.350662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:38.723537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:39.109927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:39.455401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01715265866
Minimum0
Maximum1
Zeros573
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:39.850806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299515731
Coefficient of variation (CV)7.576176714
Kurtosis53.78792251
Mean0.01715265866
Median Absolute Deviation (MAD)0
Skewness7.456769544
Sum10
Variance0.01688741136
MonotonicityNot monotonic
2023-02-02T09:43:40.233727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
0 573
98.3%
1 10
 
1.7%
ValueCountFrequency (%)
1 10
 
1.7%
0 573
98.3%

10-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:40.671119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:41.122605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:41.548021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:42.173836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aromatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:42.814386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:43.348670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:44.191706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:45.041038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:45.811698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:46.382127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:47.082860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:47.614649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:48.356249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:49.044965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:49.566034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:50.194755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:50.920901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:51.491875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:52.024883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:52.550211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:53.313147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:53.834389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:54.452922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:55.061533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:55.832507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:56.623437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:57.408727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:58.029752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-or-greater-membered aliphatic fused ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:58.548089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:43:59.147926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:43:59.743766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:00.194127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

4-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:00.662703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:01.154611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

5-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:01.664061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:02.158497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

6-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:02.766706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:04.006223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

7-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:04.552938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:05.095156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

8-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:05.724724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:06.349824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

9-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:07.117131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:07.783903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

10-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:08.296906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:08.775826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

11-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:09.396003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:10.000243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

12-membered aliphatic fused hetero ring count
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:10.601718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:11.202749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:11.769482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:12.274733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

rotatable bonds count
Real number (ℝ)

Distinct31
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.675814751
Minimum0
Maximum33
Zeros28
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:12.828910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile20
Maximum33
Range33
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.871143391
Coefficient of variation (CV)0.8794646961
Kurtosis2.61322694
Mean6.675814751
Median Absolute Deviation (MAD)3
Skewness1.592026482
Sum3892
Variance34.47032472
MonotonicityNot monotonic
2023-02-02T09:44:13.350642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 75
12.9%
4 61
10.5%
2 57
9.8%
5 54
9.3%
6 53
9.1%
1 45
 
7.7%
7 36
 
6.2%
0 28
 
4.8%
8 26
 
4.5%
9 21
 
3.6%
Other values (21) 127
21.8%
ValueCountFrequency (%)
0 28
 
4.8%
1 45
7.7%
2 57
9.8%
3 75
12.9%
4 61
10.5%
ValueCountFrequency (%)
33 1
0.2%
32 1
0.2%
30 2
0.3%
28 1
0.2%
26 1
0.2%

rotatable bonds ratio
Real number (ℝ)

Distinct174
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3002091894
Minimum0
Maximum0.8918918919
Zeros28
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:13.945399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05325077399
Q10.1666666667
median0.2380952381
Q30.4082491582
95-th percentile0.7301061008
Maximum0.8918918919
Range0.8918918919
Interquartile range (IQR)0.2415824916

Descriptive statistics

Standard deviation0.2016978489
Coefficient of variation (CV)0.671857678
Kurtosis0.3137685321
Mean0.3002091894
Median Absolute Deviation (MAD)0.09523809524
Skewness0.9593604524
Sum175.0219574
Variance0.04068202227
MonotonicityNot monotonic
2023-02-02T09:44:14.632459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 29
 
5.0%
0 28
 
4.8%
0.1666666667 18
 
3.1%
0.25 15
 
2.6%
0.125 14
 
2.4%
0.3333333333 14
 
2.4%
0.5 13
 
2.2%
0.2142857143 13
 
2.2%
0.2857142857 12
 
2.1%
0.2222222222 11
 
1.9%
Other values (164) 416
71.4%
ValueCountFrequency (%)
0 28
4.8%
0.05 1
 
0.2%
0.05263157895 1
 
0.2%
0.05882352941 1
 
0.2%
0.0625 3
 
0.5%
ValueCountFrequency (%)
0.8918918919 1
0.2%
0.8888888889 1
0.2%
0.8620689655 1
0.2%
0.8571428571 1
0.2%
0.8518518519 1
0.2%

Wildman-Crippen LogP
Real number (ℝ)

Distinct548
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.862973979
Minimum-6.7266
Maximum19.7289
Zeros0
Zeros (%)0.0%
Negative100
Negative (%)17.2%
Memory size4.7 KiB
2023-02-02T09:44:15.494239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-6.7266
5-th percentile-2.385092
Q10.9168
median2.6046
Q34.58065
95-th percentile8.572798
Maximum19.7289
Range26.4555
Interquartile range (IQR)3.66385

Descriptive statistics

Standard deviation3.413224417
Coefficient of variation (CV)1.192195403
Kurtosis1.798433544
Mean2.862973979
Median Absolute Deviation (MAD)1.8748
Skewness0.5708456739
Sum1669.11383
Variance11.65010092
MonotonicityNot monotonic
2023-02-02T09:44:16.114883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2274 4
 
0.7%
3.3322 3
 
0.5%
2.9421 3
 
0.5%
-3.9818 2
 
0.3%
1.89 2
 
0.3%
2.13402 2
 
0.3%
1.2375 2
 
0.3%
5.2745 2
 
0.3%
7.0939 2
 
0.3%
3.99878 2
 
0.3%
Other values (538) 559
95.9%
ValueCountFrequency (%)
-6.7266 1
0.2%
-6.4806 1
0.2%
-6.1392 1
0.2%
-5.7418 1
0.2%
-5.3517 1
0.2%
ValueCountFrequency (%)
19.7289 1
0.2%
16.1094 1
0.2%
15.8284 1
0.2%
15.4479 1
0.2%
13.5053 1
0.2%

Wildman-Crippen MR
Real number (ℝ)

Distinct543
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.05193431
Minimum16.6902
Maximum270.9874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:16.676234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum16.6902
5-th percentile34.70698
Q154.915
median70.2366
Q387.1088
95-th percentile131.14258
Maximum270.9874
Range254.2972
Interquartile range (IQR)32.1938

Descriptive statistics

Standard deviation31.78068885
Coefficient of variation (CV)0.4234492974
Kurtosis4.788214846
Mean75.05193431
Median Absolute Deviation (MAD)15.723
Skewness1.564270985
Sum43755.2777
Variance1010.012184
MonotonicityNot monotonic
2023-02-02T09:44:17.302531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.1264 4
 
0.7%
24.5187 3
 
0.5%
80.35 3
 
0.5%
75.733 3
 
0.5%
29.1357 3
 
0.5%
120.9134 3
 
0.5%
62.0342 2
 
0.3%
77.452 2
 
0.3%
125.5304 2
 
0.3%
88.4544 2
 
0.3%
Other values (533) 556
95.4%
ValueCountFrequency (%)
16.6902 1
0.2%
19.4931 1
0.2%
23.7905 1
0.2%
23.9594 1
0.2%
24.1101 1
0.2%
ValueCountFrequency (%)
270.9874 1
0.2%
228.555 1
0.2%
227.526 1
0.2%
199.824 1
0.2%
195.207 1
0.2%
Distinct108
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.01142367
Minimum0
Maximum177.79
Zeros72
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:17.862456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.81
median57.2
Q382.38
95-th percentile108.68
Maximum177.79
Range177.79
Interquartile range (IQR)73.57

Descriptive statistics

Standard deviation39.39696325
Coefficient of variation (CV)0.787759283
Kurtosis-0.6394636099
Mean50.01142367
Median Absolute Deviation (MAD)34.41
Skewness0.3122813469
Sum29156.66
Variance1552.120714
MonotonicityNot monotonic
2023-02-02T09:44:18.454252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
12.3%
8.81 63
 
10.8%
82.38 55
 
9.4%
9.23 40
 
6.9%
66.01 28
 
4.8%
57.2 25
 
4.3%
91.19 23
 
3.9%
3.88 18
 
3.1%
75.24 10
 
1.7%
61.08 9
 
1.5%
Other values (98) 240
41.2%
ValueCountFrequency (%)
0 72
12.3%
3.88 18
 
3.1%
8.81 63
10.8%
9.23 40
6.9%
16.61 2
 
0.3%
ValueCountFrequency (%)
177.79 2
0.3%
169.99 2
0.3%
165.62 1
0.2%
161.18 2
0.3%
140.37 1
0.2%
Distinct109
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.55186964
Minimum0
Maximum177.79
Zeros72
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:19.048994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.81
median65.58
Q399.14
95-th percentile120.84
Maximum177.79
Range177.79
Interquartile range (IQR)90.33

Descriptive statistics

Standard deviation44.2495047
Coefficient of variation (CV)0.7965439325
Kurtosis-1.108661468
Mean55.55186964
Median Absolute Deviation (MAD)42.37
Skewness0.2256541162
Sum32386.74
Variance1958.018666
MonotonicityNot monotonic
2023-02-02T09:44:19.623333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
12.3%
8.81 63
 
10.8%
99.14 55
 
9.4%
9.23 40
 
6.9%
74.39 28
 
4.8%
65.58 25
 
4.3%
107.95 23
 
3.9%
3.88 15
 
2.6%
83.62 10
 
1.7%
69.46 9
 
1.5%
Other values (99) 243
41.7%
ValueCountFrequency (%)
0 72
12.3%
3.88 15
 
2.6%
8.81 63
10.8%
9.23 40
6.9%
16.61 2
 
0.3%
ValueCountFrequency (%)
177.79 2
0.3%
169.99 2
0.3%
165.62 1
0.2%
161.18 2
0.3%
153.08 1
0.2%
Distinct39
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.500857633
Minimum0.5
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:20.164994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2
Q14.5
median7
Q310.5
95-th percentile13
Maximum30
Range29.5
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.308197567
Coefficient of variation (CV)0.5743606635
Kurtosis4.34019339
Mean7.500857633
Median Absolute Deviation (MAD)3
Skewness1.339451086
Sum4373
Variance18.56056627
MonotonicityNot monotonic
2023-02-02T09:44:20.704031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
11.5 47
 
8.1%
3 45
 
7.7%
5 41
 
7.0%
6 36
 
6.2%
9.5 36
 
6.2%
10.5 34
 
5.8%
2 32
 
5.5%
5.5 29
 
5.0%
8.5 28
 
4.8%
6.5 26
 
4.5%
Other values (29) 229
39.3%
ValueCountFrequency (%)
0.5 1
 
0.2%
1 10
 
1.7%
1.5 5
 
0.9%
2 32
5.5%
2.5 19
3.3%
ValueCountFrequency (%)
30 1
 
0.2%
29 3
0.5%
28 1
 
0.2%
20.5 3
0.5%
20 2
0.3%
Distinct75
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063464837
Minimum0
Maximum13.33333333
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:21.607606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4444444444
Q11.111111111
median2
Q34.888888889
95-th percentile7.533333333
Maximum13.33333333
Range13.33333333
Interquartile range (IQR)3.777777778

Descriptive statistics

Standard deviation2.670993673
Coefficient of variation (CV)0.8718865125
Kurtosis2.248713733
Mean3.063464837
Median Absolute Deviation (MAD)1.333333333
Skewness1.446821516
Sum1786
Variance7.134207201
MonotonicityNot monotonic
2023-02-02T09:44:22.206346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.333333333 87
 
14.9%
0.6666666667 67
 
11.5%
1.555555556 33
 
5.7%
4.888888889 30
 
5.1%
2.666666667 27
 
4.6%
1.111111111 25
 
4.3%
1.111111111 20
 
3.4%
0.4444444444 18
 
3.1%
5.333333333 17
 
2.9%
2.444444444 16
 
2.7%
Other values (65) 243
41.7%
ValueCountFrequency (%)
0 10
 
1.7%
0.2222222222 7
 
1.2%
0.4444444444 18
 
3.1%
0.6666666667 67
11.5%
0.8888888889 8
 
1.4%
ValueCountFrequency (%)
13.33333333 2
0.3%
13.11111111 2
0.3%
12.88888889 1
0.2%
12.66666667 2
0.3%
12.44444444 2
0.3%
Distinct97
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.34910425
Minimum0
Maximum7.5
Zeros17
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:22.846903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2222222222
Q10.5694444444
median0.9166666667
Q31.694444444
95-th percentile3.566666667
Maximum7.5
Range7.5
Interquartile range (IQR)1.125

Descriptive statistics

Standard deviation1.28208328
Coefficient of variation (CV)0.9503218744
Kurtosis7.69336288
Mean1.34910425
Median Absolute Deviation (MAD)0.4722222222
Skewness2.47219866
Sum786.5277778
Variance1.643737536
MonotonicityNot monotonic
2023-02-02T09:44:23.398053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5694444444 91
 
15.6%
0.75 53
 
9.1%
0.5 29
 
5.0%
1.694444444 29
 
5.0%
1.875 24
 
4.1%
1.5 22
 
3.8%
1.625 20
 
3.4%
0.375 19
 
3.3%
0 17
 
2.9%
0.625 16
 
2.7%
Other values (87) 263
45.1%
ValueCountFrequency (%)
0 17
2.9%
0.125 8
1.4%
0.1875 4
 
0.7%
0.2222222222 13
2.2%
0.25 8
1.4%
ValueCountFrequency (%)
7.5 1
 
0.2%
7.319444444 7
1.2%
6.9375 1
 
0.2%
6.694444444 1
 
0.2%
6.569444444 1
 
0.2%
Distinct112
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.734360587
Minimum0
Maximum4.426666667
Zeros55
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:24.029011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.205
median0.445
Q31.2
95-th percentile1.773333333
Maximum4.426666667
Range4.426666667
Interquartile range (IQR)0.995

Descriptive statistics

Standard deviation0.7853784887
Coefficient of variation (CV)1.069472549
Kurtosis5.462900932
Mean0.734360587
Median Absolute Deviation (MAD)0.3194444444
Skewness2.063062616
Sum428.1322222
Variance0.6168193706
MonotonicityNot monotonic
2023-02-02T09:44:24.578456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.205 91
 
15.6%
0 55
 
9.4%
0.48 38
 
6.5%
1.2 33
 
5.7%
0.24 32
 
5.5%
1.405 25
 
4.3%
0.3422222222 18
 
3.1%
0.125 16
 
2.7%
1.44 16
 
2.7%
0.33 13
 
2.2%
Other values (102) 246
42.2%
ValueCountFrequency (%)
0 55
9.4%
0.08 9
 
1.5%
0.125 16
 
2.7%
0.1511111111 6
 
1.0%
0.16 3
 
0.5%
ValueCountFrequency (%)
4.426666667 1
 
0.2%
4.151666667 3
0.5%
4.097777778 1
 
0.2%
4.08 1
 
0.2%
3.805 4
0.7%
Distinct108
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4071936345
Minimum0
Maximum7.916666667
Zeros93
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:25.214349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09027777778
median0.1911111111
Q30.5104166667
95-th percentile1.166666667
Maximum7.916666667
Range7.916666667
Interquartile range (IQR)0.4201388889

Descriptive statistics

Standard deviation0.7748868452
Coefficient of variation (CV)1.902993514
Kurtosis67.36264155
Mean0.4071936345
Median Absolute Deviation (MAD)0.1911111111
Skewness7.488761174
Sum237.3938889
Variance0.6004496229
MonotonicityNot monotonic
2023-02-02T09:44:25.780535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
16.0%
0.1355555556 66
 
11.3%
0.5 50
 
8.6%
0.3333333333 39
 
6.7%
0.08 25
 
4.3%
0.09027777778 20
 
3.4%
0.1458333333 19
 
3.3%
0.1666666667 17
 
2.9%
0.6355555556 17
 
2.9%
0.05555555556 16
 
2.7%
Other values (98) 221
37.9%
ValueCountFrequency (%)
0 93
16.0%
0.05555555556 16
 
2.7%
0.0625 4
 
0.7%
0.08 25
 
4.3%
0.08333333333 1
 
0.2%
ValueCountFrequency (%)
7.916666667 1
0.2%
7.718888889 1
0.2%
7.718888889 2
0.3%
7.673611111 1
0.2%
2.135555556 1
0.2%
Distinct62
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1633948262
Minimum0
Maximum5.613061224
Zeros229
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:26.452610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.06040816327
Q30.1519274376
95-th percentile0.5926530612
Maximum5.613061224
Range5.613061224
Interquartile range (IQR)0.1519274376

Descriptive statistics

Standard deviation0.5279512048
Coefficient of variation (CV)3.231137834
Kurtosis86.9735608
Mean0.1633948262
Median Absolute Deviation (MAD)0.06040816327
Skewness8.934796501
Sum95.25918367
Variance0.2787324746
MonotonicityNot monotonic
2023-02-02T09:44:27.025248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
39.3%
0.09637188209 63
 
10.8%
0.05555555556 28
 
4.8%
0.2448979592 27
 
4.6%
0.2448979592 26
 
4.5%
0.1224489796 25
 
4.3%
0.1012244898 21
 
3.6%
0.06040816327 20
 
3.4%
0.04081632653 14
 
2.4%
0.04 13
 
2.2%
Other values (52) 117
20.1%
ValueCountFrequency (%)
0 229
39.3%
0.04 13
 
2.2%
0.04081632653 14
 
2.4%
0.05555555556 28
 
4.8%
0.06040816327 3
 
0.5%
ValueCountFrequency (%)
5.613061224 1
0.2%
5.464535147 1
0.2%
5.464535147 2
0.3%
5.428571429 1
0.2%
1.198412698 1
0.2%
Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0923754293
Minimum0
Maximum3.270833333
Zeros312
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:27.645318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.08421910431
95-th percentile0.28125
Maximum3.270833333
Range3.270833333
Interquartile range (IQR)0.08421910431

Descriptive statistics

Standard deviation0.3118880526
Coefficient of variation (CV)3.376309642
Kurtosis80.25975099
Mean0.0923754293
Median Absolute Deviation (MAD)0
Skewness8.5143804
Sum53.85487528
Variance0.09727415737
MonotonicityNot monotonic
2023-02-02T09:44:28.294786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 312
53.5%
0.1875 52
 
8.9%
0.07206632653 41
 
7.0%
0.02777777778 22
 
3.8%
0.03125 20
 
3.4%
0.09375 16
 
2.7%
0.07465277778 16
 
2.7%
0.28125 15
 
2.6%
0.04340277778 9
 
1.5%
0.1128826531 7
 
1.2%
Other values (36) 73
 
12.5%
ValueCountFrequency (%)
0 312
53.5%
0.006944444444 1
 
0.2%
0.02777777778 22
 
3.8%
0.03125 20
 
3.4%
0.04081632653 6
 
1.0%
ValueCountFrequency (%)
3.270833333 1
 
0.2%
3.15539966 3
0.5%
3.126736111 1
 
0.2%
1.03125 3
0.5%
0.7283163265 1
 
0.2%
Distinct42
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0649735682
Minimum0
Maximum4.102796674
Zeros403
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:28.850271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.05594135802
95-th percentile0.1481481481
Maximum4.102796674
Range4.102796674
Interquartile range (IQR)0.05594135802

Descriptive statistics

Standard deviation0.3749693225
Coefficient of variation (CV)5.771105587
Kurtosis103.8247163
Mean0.0649735682
Median Absolute Deviation (MAD)0
Skewness10.09515895
Sum37.87959026
Variance0.1406019928
MonotonicityNot monotonic
2023-02-02T09:44:29.352891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 403
69.1%
0.1481481481 32
 
5.5%
0.05594135802 24
 
4.1%
0.02469135802 12
 
2.1%
0.0574452003 9
 
1.5%
0.02040816327 8
 
1.4%
0.07407407407 8
 
1.4%
0.07407407407 7
 
1.2%
0.07407407407 7
 
1.2%
0.05594135802 7
 
1.2%
Other values (32) 66
 
11.3%
ValueCountFrequency (%)
0 403
69.1%
0.02040816327 8
 
1.4%
0.02469135802 12
 
2.1%
0.03125 4
 
0.7%
0.03224993701 1
 
0.2%
ValueCountFrequency (%)
4.102796674 1
0.2%
4.010589884 1
0.2%
4.010589884 1
0.2%
3.987402368 1
0.2%
3.954648526 1
0.2%
Distinct32
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06718251699
Minimum0
Maximum5.505
Zeros430
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:29.850423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.12
Maximum5.505
Range5.505
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.5056038945
Coefficient of variation (CV)7.525825425
Kurtosis110.267389
Mean0.06718251699
Median Absolute Deviation (MAD)0
Skewness10.52671898
Sum39.16740741
Variance0.2556352981
MonotonicityNot monotonic
2023-02-02T09:44:30.341048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 430
73.8%
0.04469135802 30
 
5.1%
0.06 28
 
4.8%
0.12 16
 
2.7%
0.02 13
 
2.2%
0.045625 10
 
1.7%
0.12 8
 
1.4%
0.015625 5
 
0.9%
0.125625 4
 
0.7%
0.085625 4
 
0.7%
Other values (22) 35
 
6.0%
ValueCountFrequency (%)
0 430
73.8%
0.015625 5
 
0.9%
0.02 13
 
2.2%
0.0225 1
 
0.2%
0.025625 4
 
0.7%
ValueCountFrequency (%)
5.505 1
0.2%
5.489691358 1
0.2%
5.470625 1
0.2%
5.445 1
0.2%
5.445 1
0.2%
Distinct22
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01243282313
Minimum0
Maximum0.2844628099
Zeros461
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:30.805955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.07019691868
Maximum0.2844628099
Range0.2844628099
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03267525659
Coefficient of variation (CV)2.628144569
Kurtosis23.5150141
Mean0.01243282313
Median Absolute Deviation (MAD)0
Skewness4.201611019
Sum7.248335884
Variance0.001067672393
MonotonicityNot monotonic
2023-02-02T09:44:31.221433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 461
79.1%
0.03652892562 31
 
5.3%
0.09917355372 18
 
3.1%
0.04958677686 17
 
2.9%
0.01652892562 11
 
1.9%
0.03713906744 9
 
1.5%
0.02061014182 6
 
1.0%
0.07019691868 5
 
0.9%
0.05652892562 4
 
0.7%
0.1032547699 3
 
0.5%
Other values (12) 18
 
3.1%
ValueCountFrequency (%)
0 461
79.1%
0.01234567901 3
 
0.5%
0.01652892562 11
 
1.9%
0.02061014182 6
 
1.0%
0.02887460463 1
 
0.2%
ValueCountFrequency (%)
0.2844628099 1
 
0.2%
0.2479338843 3
0.5%
0.1687603306 1
 
0.2%
0.152231405 1
 
0.2%
0.1487603306 1
 
0.2%
Distinct254
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3652289012
Minimum0.07142857143
Maximum0.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:31.715288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07142857143
5-th percentile0.125
Q10.2639318885
median0.3823529412
Q30.4583333333
95-th percentile0.5788651316
Maximum0.75
Range0.6785714286
Interquartile range (IQR)0.1944014448

Descriptive statistics

Standard deviation0.1337247583
Coefficient of variation (CV)0.366139585
Kurtosis-0.5402426487
Mean0.3652289012
Median Absolute Deviation (MAD)0.09133126935
Skewness-0.1481263215
Sum212.9284494
Variance0.01788231099
MonotonicityNot monotonic
2023-02-02T09:44:32.243438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 23
 
3.9%
0.5 19
 
3.3%
0.5 13
 
2.2%
0.3333333333 11
 
1.9%
0.4583333333 10
 
1.7%
0.375 10
 
1.7%
0.4375 9
 
1.5%
0.2 9
 
1.5%
0.2142857143 7
 
1.2%
0.4230769231 7
 
1.2%
Other values (244) 465
79.8%
ValueCountFrequency (%)
0.07142857143 1
0.2%
0.07692307692 1
0.2%
0.08108108108 1
0.2%
0.08333333333 1
0.2%
0.09090909091 1
0.2%
ValueCountFrequency (%)
0.75 1
0.2%
0.7083333333 1
0.2%
0.6785714286 1
0.2%
0.6666666667 2
0.3%
0.65625 1
0.2%
Distinct290
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09485636383
Minimum0
Maximum0.2076502732
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:33.190578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02222222222
Q10.05555555556
median0.09150326797
Q30.137748586
95-th percentile0.1666666667
Maximum0.2076502732
Range0.2076502732
Interquartile range (IQR)0.08219303047

Descriptive statistics

Standard deviation0.04780064923
Coefficient of variation (CV)0.5039266455
Kurtosis-1.037089557
Mean0.09485636383
Median Absolute Deviation (MAD)0.04022121669
Skewness0.07252158972
Sum55.30126011
Variance0.002284902067
MonotonicityNot monotonic
2023-02-02T09:44:33.790482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1111111111 12
 
2.1%
0.1481481481 12
 
2.1%
0 10
 
1.7%
0.06349206349 9
 
1.5%
0.07407407407 8
 
1.4%
0.07407407407 8
 
1.4%
0.0701754386 8
 
1.4%
0.05555555556 7
 
1.2%
0.03921568627 7
 
1.2%
0.1616161616 7
 
1.2%
Other values (280) 495
84.9%
ValueCountFrequency (%)
0 10
1.7%
0.01234567901 1
 
0.2%
0.01307189542 1
 
0.2%
0.01587301587 1
 
0.2%
0.0162601626 2
 
0.3%
ValueCountFrequency (%)
0.2076502732 1
0.2%
0.2048611111 2
0.3%
0.1948717949 1
0.2%
0.1920903955 1
0.2%
0.1867954911 1
0.2%
Distinct298
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05312370129
Minimum0
Maximum0.1569444444
Zeros17
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:34.302849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01877314815
Q10.0375
median0.05172413793
Q30.06532356532
95-th percentile0.09490740741
Maximum0.1569444444
Range0.1569444444
Interquartile range (IQR)0.02782356532

Descriptive statistics

Standard deviation0.02468415228
Coefficient of variation (CV)0.4646542255
Kurtosis1.969341389
Mean0.05312370129
Median Absolute Deviation (MAD)0.01422413793
Skewness0.7382868355
Sum30.97111785
Variance0.0006093073737
MonotonicityNot monotonic
2023-02-02T09:44:35.073694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
2.9%
0.0625 13
 
2.2%
0.06327160494 12
 
2.1%
0.04166666667 12
 
2.1%
0.04545454545 11
 
1.9%
0.046875 10
 
1.7%
0.03125 10
 
1.7%
0.07118055556 10
 
1.7%
0.1111111111 8
 
1.4%
0.0375 7
 
1.2%
Other values (288) 473
81.1%
ValueCountFrequency (%)
0 17
2.9%
0.009615384615 1
 
0.2%
0.009868421053 1
 
0.2%
0.01 1
 
0.2%
0.01086956522 1
 
0.2%
ValueCountFrequency (%)
0.1569444444 1
 
0.2%
0.15 3
0.5%
0.1423611111 2
0.3%
0.1412037037 1
 
0.2%
0.1303418803 1
 
0.2%
Distinct278
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03528227598
Minimum0
Maximum0.1111111111
Zeros55
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:35.754229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01936851852
median0.03428571429
Q30.04848484848
95-th percentile0.06854761905
Maximum0.1111111111
Range0.1111111111
Interquartile range (IQR)0.02911632997

Descriptive statistics

Standard deviation0.02095161109
Coefficient of variation (CV)0.5938282185
Kurtosis-0.2756279765
Mean0.03528227598
Median Absolute Deviation (MAD)0.01431428571
Skewness0.2565624081
Sum20.5695669
Variance0.0004389700073
MonotonicityNot monotonic
2023-02-02T09:44:36.414640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
9.4%
0.03416666667 11
 
1.9%
0.02 10
 
1.7%
0.03416666667 10
 
1.7%
0.06833333333 9
 
1.5%
0.02666666667 9
 
1.5%
0.041 9
 
1.5%
0.025 9
 
1.5%
0.016 8
 
1.4%
0.03746031746 8
 
1.4%
Other values (268) 445
76.3%
ValueCountFrequency (%)
0 55
9.4%
0.008928571429 2
 
0.3%
0.009318181818 1
 
0.2%
0.009444444444 1
 
0.2%
0.01025 2
 
0.3%
ValueCountFrequency (%)
0.1111111111 2
 
0.3%
0.08 6
1.0%
0.08 3
0.5%
0.07805555556 1
 
0.2%
0.07766666667 1
 
0.2%
Distinct198
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02097226482
Minimum0
Maximum0.08854166667
Zeros93
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:37.064240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01041666667
median0.02259259259
Q30.02777777778
95-th percentile0.04518518519
Maximum0.08854166667
Range0.08854166667
Interquartile range (IQR)0.01736111111

Descriptive statistics

Standard deviation0.01445993115
Coefficient of variation (CV)0.6894787605
Kurtosis1.240071248
Mean0.02097226482
Median Absolute Deviation (MAD)0.008703703704
Skewness0.6291771702
Sum12.22683039
Variance0.0002090896089
MonotonicityNot monotonic
2023-02-02T09:44:37.629435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
 
16.0%
0.02777777778 32
 
5.5%
0.02777777778 20
 
3.4%
0.02711111111 15
 
2.6%
0.016 13
 
2.2%
0.01388888889 13
 
2.2%
0.04518518519 13
 
2.2%
0.02083333333 10
 
1.7%
0.04 10
 
1.7%
0.03333333333 9
 
1.5%
Other values (188) 355
60.9%
ValueCountFrequency (%)
0 93
16.0%
0.001388888889 1
 
0.2%
0.005714285714 3
 
0.5%
0.006018518519 4
 
0.7%
0.006455026455 1
 
0.2%
ValueCountFrequency (%)
0.08854166667 1
 
0.2%
0.07738095238 1
 
0.2%
0.07236111111 1
 
0.2%
0.07083333333 2
 
0.3%
0.0625 7
1.2%
Distinct170
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00946911118
Minimum0
Maximum0.04040816327
Zeros229
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:38.225558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.006424792139
Q30.01749271137
95-th percentile0.02777777778
Maximum0.04040816327
Range0.04040816327
Interquartile range (IQR)0.01749271137

Descriptive statistics

Standard deviation0.01043094425
Coefficient of variation (CV)1.101575855
Kurtosis-0.1353136771
Mean0.00946911118
Median Absolute Deviation (MAD)0.006424792139
Skewness0.914114969
Sum5.520491818
Variance0.0001088045979
MonotonicityNot monotonic
2023-02-02T09:44:38.782326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
39.3%
0.02777777778 16
 
2.7%
0.01360544218 15
 
2.6%
0.0321239607 14
 
2.4%
0.02040816327 13
 
2.2%
0.02013605442 13
 
2.2%
0.009070294785 8
 
1.4%
0.02267573696 7
 
1.2%
0.04 7
 
1.2%
0.00602324263 6
 
1.0%
Other values (160) 255
43.7%
ValueCountFrequency (%)
0 229
39.3%
0.001915708812 2
 
0.3%
0.002721088435 1
 
0.2%
0.002920360063 1
 
0.2%
0.003401360544 1
 
0.2%
ValueCountFrequency (%)
0.04040816327 1
 
0.2%
0.04 7
1.2%
0.03864323507 1
 
0.2%
0.03567067853 1
 
0.2%
0.03232653061 1
 
0.2%
Distinct112
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005956456213
Minimum0
Maximum0.0332813681
Zeros312
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:39.469046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01041666667
95-th percentile0.02402210884
Maximum0.0332813681
Range0.0332813681
Interquartile range (IQR)0.01041666667

Descriptive statistics

Standard deviation0.00803860435
Coefficient of variation (CV)1.349561562
Kurtosis0.8094853478
Mean0.005956456213
Median Absolute Deviation (MAD)0
Skewness1.287562242
Sum3.472613972
Variance6.461915989 × 10-5
MonotonicityNot monotonic
2023-02-02T09:44:39.998958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 312
53.5%
0.015625 39
 
6.7%
0.02777777778 19
 
3.3%
0.0078125 10
 
1.7%
0.01041666667 8
 
1.4%
0.006944444444 8
 
1.4%
0.004804421769 6
 
1.0%
0.008007369615 5
 
0.9%
0.02402210884 5
 
0.9%
0.005208333333 5
 
0.9%
Other values (102) 166
28.5%
ValueCountFrequency (%)
0 312
53.5%
0.0006944444444 1
 
0.2%
0.003125 2
 
0.3%
0.003338675214 1
 
0.2%
0.003792964554 1
 
0.2%
ValueCountFrequency (%)
0.0332813681 1
 
0.2%
0.02951388889 4
 
0.7%
0.02882653061 1
 
0.2%
0.02777777778 19
3.3%
0.02678571429 1
 
0.2%
Distinct89
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002698228698
Minimum0
Maximum0.02237654321
Zeros403
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:40.582967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.004454099692
95-th percentile0.01436130008
Maximum0.02237654321
Range0.02237654321
Interquartile range (IQR)0.004454099692

Descriptive statistics

Standard deviation0.004941140289
Coefficient of variation (CV)1.83125333
Kurtosis3.474279249
Mean0.002698228698
Median Absolute Deviation (MAD)0
Skewness2.015958302
Sum1.573067331
Variance2.441486736 × 10-5
MonotonicityNot monotonic
2023-02-02T09:44:41.208796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403
69.1%
0.008230452675 9
 
1.5%
0.00548696845 8
 
1.4%
0.02040816327 8
 
1.4%
0.006172839506 7
 
1.2%
0.003995811287 6
 
1.0%
0.004938271605 6
 
1.0%
0.004938271605 5
 
0.9%
0.01864711934 5
 
0.9%
0.004489337823 4
 
0.7%
Other values (79) 122
 
20.9%
ValueCountFrequency (%)
0 403
69.1%
0.002244668911 1
 
0.2%
0.002729486856 1
 
0.2%
0.002743484225 1
 
0.2%
0.002962962963 1
 
0.2%
ValueCountFrequency (%)
0.02237654321 1
 
0.2%
0.02040816327 8
1.4%
0.0199531835 1
 
0.2%
0.01987260566 1
 
0.2%
0.01928168214 1
 
0.2%
Distinct71
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001849321316
Minimum0
Maximum0.02520833333
Zeros430
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:41.824938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.002222222222
95-th percentile0.01
Maximum0.02520833333
Range0.02520833333
Interquartile range (IQR)0.002222222222

Descriptive statistics

Standard deviation0.003870384758
Coefficient of variation (CV)2.09286765
Kurtosis9.944206435
Mean0.001849321316
Median Absolute Deviation (MAD)0
Skewness2.802669713
Sum1.078154327
Variance1.497987817 × 10-5
MonotonicityNot monotonic
2023-02-02T09:44:42.617373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 430
73.8%
0.01 21
 
3.6%
0.005 11
 
1.9%
0.002222222222 8
 
1.4%
0.003437796771 6
 
1.0%
0.006384479718 5
 
0.9%
0.003333333333 5
 
0.9%
0.004444444444 5
 
0.9%
0.008938271605 4
 
0.7%
0.0075 4
 
0.7%
Other values (61) 84
 
14.4%
ValueCountFrequency (%)
0 430
73.8%
0.002222222222 8
 
1.4%
0.002307692308 1
 
0.2%
0.002329545455 1
 
0.2%
0.0025 1
 
0.2%
ValueCountFrequency (%)
0.02520833333 1
0.2%
0.0250921659 1
0.2%
0.02439862826 1
0.2%
0.02431388889 1
0.2%
0.02265432099 1
0.2%
Distinct61
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001018367976
Minimum0
Maximum0.01443730232
Zeros461
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:43.838765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.00608815427
Maximum0.01443730232
Range0.01443730232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00233026701
Coefficient of variation (CV)2.288236733
Kurtosis7.213105906
Mean0.001018367976
Median Absolute Deviation (MAD)0
Skewness2.625735991
Sum0.59370853
Variance5.430144337 × 10-6
MonotonicityNot monotonic
2023-02-02T09:44:44.610204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 461
79.1%
0.002361275089 9
 
1.5%
0.005509641873 9
 
1.5%
0.003305785124 7
 
1.2%
0.003044077135 7
 
1.2%
0.005509641873 5
 
0.9%
0.004722550177 4
 
0.7%
0.003652892562 4
 
0.7%
0.00608815427 4
 
0.7%
0.01217630854 4
 
0.7%
Other values (51) 69
 
11.8%
ValueCountFrequency (%)
0 461
79.1%
9.200956171 × 10-51
 
0.2%
0.0001630755608 1
 
0.2%
0.0002092269066 1
 
0.2%
0.002061014182 1
 
0.2%
ValueCountFrequency (%)
0.01443730232 1
 
0.2%
0.01217630854 4
0.7%
0.01053565963 1
 
0.2%
0.01014876033 1
 
0.2%
0.009917355372 1
 
0.2%
Distinct500
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5904549925
Minimum0.07142857143
Maximum0.9694009379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:45.486794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07142857143
5-th percentile0.2647479962
Q10.4705535686
median0.6013091011
Q30.7407521882
95-th percentile0.8509167303
Maximum0.9694009379
Range0.8979723665
Interquartile range (IQR)0.2701986196

Descriptive statistics

Standard deviation0.180415592
Coefficient of variation (CV)0.3055535042
Kurtosis-0.6438883348
Mean0.5904549925
Median Absolute Deviation (MAD)0.1353318112
Skewness-0.3340590328
Sum344.2352606
Variance0.03254978585
MonotonicityNot monotonic
2023-02-02T09:44:46.057779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7706064026 4
 
0.7%
0.8711640212 4
 
0.7%
0.7541164451 4
 
0.7%
0.5925527244 4
 
0.7%
0.488477541 3
 
0.5%
0.6885708217 3
 
0.5%
0.6608417508 3
 
0.5%
0.8206349206 3
 
0.5%
0.6203625228 3
 
0.5%
0.7308737296 3
 
0.5%
Other values (490) 549
94.2%
ValueCountFrequency (%)
0.07142857143 1
0.2%
0.156864034 1
0.2%
0.1727422713 1
0.2%
0.1758602177 1
0.2%
0.1875 1
0.2%
ValueCountFrequency (%)
0.9694009379 1
0.2%
0.9576203652 1
0.2%
0.9315255733 2
0.3%
0.9287697266 1
0.2%
0.9099027403 1
0.2%

topological diameter
Real number (ℝ)

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100000000
Minimum100000000
Maximum100000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:46.555654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum100000000
5-th percentile100000000
Q1100000000
median100000000
Q3100000000
95-th percentile100000000
Maximum100000000
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean100000000
Median Absolute Deviation (MAD)0
Skewness0
Sum5.83 × 1010
Variance0
MonotonicityIncreasing
2023-02-02T09:44:46.941222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
100000000 583
100.0%
ValueCountFrequency (%)
100000000 583
100.0%
ValueCountFrequency (%)
100000000 583
100.0%

topological radius
Real number (ℝ)

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100000000
Minimum100000000
Maximum100000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:47.421239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum100000000
5-th percentile100000000
Q1100000000
median100000000
Q3100000000
95-th percentile100000000
Maximum100000000
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean100000000
Median Absolute Deviation (MAD)0
Skewness0
Sum5.83 × 1010
Variance0
MonotonicityIncreasing
2023-02-02T09:44:47.826325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
100000000 583
100.0%
ValueCountFrequency (%)
100000000 583
100.0%
ValueCountFrequency (%)
100000000 583
100.0%

topological shape index
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:48.255978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:48.660566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%

Petitjean index
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:49.112459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:44:49.521296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.224255817
Minimum3
Maximum7.409390936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:50.022814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.0169925
Q14.807354922
median5.321928095
Q35.64385619
95-th percentile6.129283017
Maximum7.409390936
Range4.409390936
Interquartile range (IQR)0.8365012677

Descriptive statistics

Standard deviation0.6340589848
Coefficient of variation (CV)0.121368288
Kurtosis0.9729292761
Mean5.224255817
Median Absolute Deviation (MAD)0.3785116233
Skewness-0.3440768886
Sum3045.741142
Variance0.4020307963
MonotonicityNot monotonic
2023-02-02T09:44:50.587229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5 35
 
6.0%
4.807354922 34
 
5.8%
5.321928095 32
 
5.5%
4.906890596 32
 
5.5%
5.584962501 31
 
5.3%
5.523561956 30
 
5.1%
5.700439718 27
 
4.6%
5.247927513 25
 
4.3%
5.169925001 25
 
4.3%
5.392317423 24
 
4.1%
Other values (36) 288
49.4%
ValueCountFrequency (%)
3 2
 
0.3%
3.321928095 3
 
0.5%
3.584962501 7
1.2%
3.807354922 8
1.4%
4 10
1.7%
ValueCountFrequency (%)
7.409390936 1
0.2%
7.285402219 2
0.3%
7.169925001 1
0.2%
7.14974712 1
0.2%
6.554588852 1
0.2%

walk count (leg-1)
Real number (ℝ)

Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.51629503
Minimum4
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:51.220419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.1
Q114
median20
Q325
95-th percentile35
Maximum85
Range81
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.341883222
Coefficient of variation (CV)0.4553396805
Kurtosis10.52278008
Mean20.51629503
Median Absolute Deviation (MAD)5
Skewness2.140700043
Sum11961
Variance87.27078213
MonotonicityNot monotonic
2023-02-02T09:44:51.766659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
16 35
 
6.0%
14 34
 
5.8%
20 32
 
5.5%
15 32
 
5.5%
24 31
 
5.3%
23 30
 
5.1%
26 27
 
4.6%
19 25
 
4.3%
18 25
 
4.3%
21 24
 
4.1%
Other values (36) 288
49.4%
ValueCountFrequency (%)
4 2
 
0.3%
5 3
 
0.5%
6 7
1.2%
7 8
1.4%
8 10
1.7%
ValueCountFrequency (%)
85 1
0.2%
78 2
0.3%
72 1
0.2%
71 1
0.2%
47 1
0.2%

walk count (leg-2)
Real number (ℝ)

Distinct98
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.496061102
Minimum2.564949357
Maximum6.061456919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:52.396758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.564949357
5-th percentile3.616182286
Q14.204692619
median4.553876892
Q34.828313737
95-th percentile5.162473732
Maximum6.061456919
Range3.496507561
Interquartile range (IQR)0.6236211179

Descriptive statistics

Standard deviation0.484814887
Coefficient of variation (CV)0.1078310272
Kurtosis1.248355579
Mean4.496061102
Median Absolute Deviation (MAD)0.2911970146
Skewness-0.5258421051
Sum2621.203622
Variance0.2350454747
MonotonicityNot monotonic
2023-02-02T09:44:52.928547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.828313737 19
 
3.3%
4.110873864 18
 
3.1%
4.672828834 18
 
3.1%
4.465908119 16
 
2.7%
4.234106505 16
 
2.7%
4.634728988 15
 
2.6%
4.709530201 15
 
2.6%
4.418840608 14
 
2.4%
4.779123493 13
 
2.2%
4.17438727 13
 
2.2%
Other values (88) 426
73.1%
ValueCountFrequency (%)
2.564949357 1
0.2%
2.833213344 2
0.3%
2.944438979 2
0.3%
3.044522438 1
0.2%
3.135494216 2
0.3%
ValueCountFrequency (%)
6.061456919 1
0.2%
5.993961427 1
0.2%
5.988961417 1
0.2%
5.932245187 1
0.2%
5.92157842 1
0.2%

walk count (leg-3)
Real number (ℝ)

Distinct176
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.229449611
Minimum2.833213344
Maximum6.88857246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:53.509783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.833213344
5-th percentile4.290459441
Q14.905274778
median5.313205979
Q35.5984151
95-th percentile5.945389332
Maximum6.88857246
Range4.055359116
Interquartile range (IQR)0.6931403218

Descriptive statistics

Standard deviation0.5479980521
Coefficient of variation (CV)0.1047907701
Kurtosis1.704715518
Mean5.229449611
Median Absolute Deviation (MAD)0.3322409186
Skewness-0.6625504518
Sum3048.769123
Variance0.3003018652
MonotonicityNot monotonic
2023-02-02T09:44:54.076027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.859812404 10
 
1.7%
4.976733742 9
 
1.5%
5.407171771 9
 
1.5%
4.762173935 9
 
1.5%
5.068904202 9
 
1.5%
5.624017506 9
 
1.5%
5.416100402 8
 
1.4%
4.919980926 8
 
1.4%
4.795790546 8
 
1.4%
5.176149733 8
 
1.4%
Other values (166) 496
85.1%
ValueCountFrequency (%)
2.833213344 1
0.2%
3.218875825 1
0.2%
3.295836866 2
0.3%
3.36729583 1
0.2%
3.496507561 1
0.2%
ValueCountFrequency (%)
6.88857246 1
0.2%
6.831953566 1
0.2%
6.825460036 1
0.2%
6.778784898 1
0.2%
6.769641977 1
0.2%

walk count (leg-4)
Real number (ℝ)

Distinct303
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.081103702
Minimum3.218875825
Maximum7.811568489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:54.799502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.218875825
5-th percentile4.99443312
Q15.746203191
median6.154858094
Q36.481572439
95-th percentile6.842469607
Maximum7.811568489
Range4.592692664
Interquartile range (IQR)0.7353692484

Descriptive statistics

Standard deviation0.6037552091
Coefficient of variation (CV)0.09928382063
Kurtosis2.203622593
Mean6.081103702
Median Absolute Deviation (MAD)0.3628131789
Skewness-0.8128605712
Sum3545.283458
Variance0.3645203526
MonotonicityNot monotonic
2023-02-02T09:44:55.410172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.278521424 7
 
1.2%
5.459585514 7
 
1.2%
5.752572639 7
 
1.2%
5.673323267 6
 
1.0%
6.50578406 6
 
1.0%
5.80814249 6
 
1.0%
4.762173935 5
 
0.9%
5.758901774 5
 
0.9%
5.616771098 5
 
0.9%
6.137727054 5
 
0.9%
Other values (293) 524
89.9%
ValueCountFrequency (%)
3.218875825 1
0.2%
3.663561646 1
0.2%
3.891820298 2
0.3%
4.007333185 2
0.3%
4.143134726 1
0.2%
ValueCountFrequency (%)
7.811568489 1
0.2%
7.764296006 1
0.2%
7.754910272 1
0.2%
7.722677516 1
0.2%
7.715569535 1
0.2%

walk count (leg-5)
Real number (ℝ)

Distinct384
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.84933693
Minimum3.496507561
Maximum8.688959234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:56.056569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.496507561
5-th percentile5.693732139
Q16.475432717
median6.894670039
Q37.286875475
95-th percentile7.731134094
Maximum8.688959234
Range5.192451673
Interquartile range (IQR)0.8114427581

Descriptive statistics

Standard deviation0.6772545407
Coefficient of variation (CV)0.09887884735
Kurtosis2.581810996
Mean6.84933693
Median Absolute Deviation (MAD)0.4138727581
Skewness-0.880634014
Sum3993.16343
Variance0.458673713
MonotonicityNot monotonic
2023-02-02T09:44:56.689890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.625107148 6
 
1.0%
6.725033642 6
 
1.0%
6.248042875 5
 
0.9%
6.475432717 5
 
0.9%
7.609366538 4
 
0.7%
7.244941546 4
 
0.7%
6.315358002 4
 
0.7%
7.412764017 4
 
0.7%
7.350516172 4
 
0.7%
6.37502482 4
 
0.7%
Other values (374) 537
92.1%
ValueCountFrequency (%)
3.496507561 1
0.2%
4.077537444 1
0.2%
4.262679877 2
0.3%
4.48863637 1
0.2%
4.574710979 2
0.3%
ValueCountFrequency (%)
8.688959234 1
0.2%
8.649448771 1
0.2%
8.639233817 1
0.2%
8.615226932 1
0.2%
8.609407675 1
0.2%

walk count (leg-6)
Real number (ℝ)

Distinct436
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.706573939
Minimum3.891820298
Maximum9.623178234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:57.314093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.891820298
5-th percentile6.459904454
Q17.298443042
median7.772752716
Q38.176951933
95-th percentile8.621805053
Maximum9.623178234
Range5.731357936
Interquartile range (IQR)0.8785088914

Descriptive statistics

Standard deviation0.7338549128
Coefficient of variation (CV)0.09522453408
Kurtosis3.009078376
Mean7.706573939
Median Absolute Deviation (MAD)0.4338645826
Skewness-0.9802447865
Sum4492.932607
Variance0.538543033
MonotonicityNot monotonic
2023-02-02T09:44:58.233935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.341483852 7
 
1.2%
7.296413269 4
 
0.7%
7.153833802 4
 
0.7%
8.24617156 4
 
0.7%
7.7419679 4
 
0.7%
8.553139318 4
 
0.7%
7.382124366 4
 
0.7%
8.07121854 4
 
0.7%
7.412764017 3
 
0.5%
7.080867897 3
 
0.5%
Other values (426) 542
93.0%
ValueCountFrequency (%)
3.891820298 1
0.2%
4.532599493 1
0.2%
4.890349128 2
0.3%
5.017279837 1
0.2%
5.176149733 1
0.2%
ValueCountFrequency (%)
9.623178234 1
0.2%
9.588708312 1
0.2%
9.577133949 1
0.2%
9.562053024 1
0.2%
9.557540572 1
0.2%

walk count (leg-7)
Real number (ℝ)

Distinct469
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.489675542
Minimum4.17438727
Maximum10.52913182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:58.802965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.17438727
5-th percentile7.136949517
Q18.051978028
median8.525359754
Q39.028698325
95-th percentile9.50536537
Maximum10.52913182
Range6.354744553
Interquartile range (IQR)0.976720297

Descriptive statistics

Standard deviation0.8114250553
Coefficient of variation (CV)0.09557786412
Kurtosis3.272585135
Mean8.489675542
Median Absolute Deviation (MAD)0.4820175836
Skewness-1.010563685
Sum4949.480841
Variance0.6584106204
MonotonicityNot monotonic
2023-02-02T09:44:59.418101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9185164 4
 
0.7%
8.087947555 4
 
0.7%
9.459619397 4
 
0.7%
9.108196898 4
 
0.7%
8.488176242 4
 
0.7%
8.910180778 3
 
0.5%
8.798907492 3
 
0.5%
8.430109085 3
 
0.5%
6.300785795 3
 
0.5%
8.371242136 3
 
0.5%
Other values (459) 548
94.0%
ValueCountFrequency (%)
4.17438727 1
0.2%
4.96284463 1
0.2%
5.272999559 2
0.3%
5.517452896 1
0.2%
5.609471795 1
0.2%
ValueCountFrequency (%)
10.52913182 1
0.2%
10.50015137 1
0.2%
10.48840901 1
0.2%
10.47877982 1
0.2%
10.47511661 1
0.2%

walk count (leg-8)
Real number (ℝ)

Distinct481
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.351456443
Minimum4.574710979
Maximum11.47363355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:44:59.993322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.574710979
5-th percentile7.885036939
Q18.882391234
median9.396902923
Q39.92004963
95-th percentile10.43439151
Maximum11.47363355
Range6.898922571
Interquartile range (IQR)1.037658396

Descriptive statistics

Standard deviation0.8697206398
Coefficient of variation (CV)0.09300376312
Kurtosis3.599719759
Mean9.351456443
Median Absolute Deviation (MAD)0.5171521245
Skewness-1.079281863
Sum5451.899106
Variance0.7564139914
MonotonicityNot monotonic
2023-02-02T09:45:00.535723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.813289285 4
 
0.7%
10.39173009 4
 
0.7%
9.997933723 4
 
0.7%
8.952217102 4
 
0.7%
8.749732464 4
 
0.7%
8.993303139 3
 
0.5%
7.380879036 3
 
0.5%
8.705662479 3
 
0.5%
9.254644298 3
 
0.5%
9.558105743 3
 
0.5%
Other values (471) 548
94.0%
ValueCountFrequency (%)
4.574710979 1
0.2%
5.424950017 1
0.2%
5.92157842 2
0.3%
6.056784013 1
0.2%
6.22059017 1
0.2%
ValueCountFrequency (%)
11.47363355 1
0.2%
11.44752257 1
0.2%
11.4354719 1
0.2%
11.43096676 1
0.2%
11.42811893 1
0.2%

walk count (leg-9)
Real number (ℝ)

Distinct483
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1425834
Minimum4.859812404
Maximum12.3980846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:01.212616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.859812404
5-th percentile8.59018099
Q19.652523063
median10.16811848
Q310.76740868
95-th percentile11.33288919
Maximum12.3980846
Range7.538272194
Interquartile range (IQR)1.114885619

Descriptive statistics

Standard deviation0.9489124479
Coefficient of variation (CV)0.09355727339
Kurtosis3.786342563
Mean10.1425834
Median Absolute Deviation (MAD)0.5515079255
Skewness-1.091860936
Sum5913.126121
Variance0.9004348337
MonotonicityNot monotonic
2023-02-02T09:45:01.853656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.716253951 4
 
0.7%
9.652523063 4
 
0.7%
10.86771094 4
 
0.7%
10.6753766 4
 
0.7%
11.30692168 4
 
0.7%
11.0311569 3
 
0.5%
9.437874272 3
 
0.5%
9.981605332 3
 
0.5%
9.576995349 3
 
0.5%
10.06819658 3
 
0.5%
Other values (473) 548
94.0%
ValueCountFrequency (%)
4.859812404 1
0.2%
5.866468057 1
0.2%
6.311734809 2
0.3%
6.56948142 1
0.2%
6.652863029 1
0.2%
ValueCountFrequency (%)
12.3980846 1
0.2%
12.37600528 1
0.2%
12.36427653 1
0.2%
12.36292681 1
0.2%
12.36059897 1
0.2%

walk count (leg-10)
Real number (ℝ)

Distinct492
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.00805813
Minimum5.262690189
Maximum13.40908849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:02.439336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.262690189
5-th percentile9.339244223
Q110.4836059
median11.0355185
Q311.6697067
95-th percentile12.27266842
Maximum13.40908849
Range8.146398303
Interquartile range (IQR)1.1861008

Descriptive statistics

Standard deviation1.008903111
Coefficient of variation (CV)0.09165132477
Kurtosis4.030138438
Mean11.00805813
Median Absolute Deviation (MAD)0.5868908558
Skewness-1.14161267
Sum6417.697891
Variance1.017885487
MonotonicityNot monotonic
2023-02-02T09:45:03.025417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5774774 4
 
0.7%
11.56882364 4
 
0.7%
12.24284324 4
 
0.7%
11.75540879 4
 
0.7%
10.40046777 3
 
0.5%
8.71489585 3
 
0.5%
10.89129863 3
 
0.5%
11.28628832 3
 
0.5%
11.94498706 3
 
0.5%
10.81204849 3
 
0.5%
Other values (482) 549
94.2%
ValueCountFrequency (%)
5.262690189 1
0.2%
6.333279628 1
0.2%
6.974478911 2
0.3%
7.115582126 1
0.2%
7.271703707 1
0.2%
ValueCountFrequency (%)
13.40908849 2
0.3%
13.39939645 1
0.2%
13.38949319 1
0.2%
13.35022697 1
0.2%
13.32995462 1
0.2%

total walk count (leg-10)
Real number (ℝ)

Distinct495
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.6476093
Minimum44.87696723
Maximum254.8248123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:03.615060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum44.87696723
5-th percentile77.12901138
Q195.80728579
median111.0843151
Q3124.1601283
95-th percentile147.8214982
Maximum254.8248123
Range209.9478451
Interquartile range (IQR)28.3528425

Descriptive statistics

Standard deviation24.11173018
Coefficient of variation (CV)0.2159627989
Kurtosis5.57701397
Mean111.6476093
Median Absolute Deviation (MAD)14.23288867
Skewness1.209753004
Sum65090.5562
Variance581.3755324
MonotonicityNot monotonic
2023-02-02T09:45:04.216484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.2222241 4
 
0.7%
132.0849397 4
 
0.7%
114.6755495 4
 
0.7%
94.99842696 4
 
0.7%
113.552724 3
 
0.5%
122.0092987 3
 
0.5%
103.6495019 3
 
0.5%
98.88152624 3
 
0.5%
102.8834988 3
 
0.5%
95.80728579 3
 
0.5%
Other values (485) 549
94.2%
ValueCountFrequency (%)
44.87696723 1
0.2%
52.91333008 1
0.2%
55.76591685 2
0.3%
56.93596942 1
0.2%
59.31357985 1
0.2%
ValueCountFrequency (%)
254.8248123 1
0.2%
239.4820019 1
0.2%
239.392407 1
0.2%
227.203512 1
0.2%
225.1555999 1
0.2%
Distinct46
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.650279638
Minimum2.197224577
Maximum5.141663557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:04.876196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.197224577
5-th percentile2.844335908
Q13.36729583
median3.713572067
Q33.931825633
95-th percentile4.262679877
Maximum5.141663557
Range2.944438979
Interquartile range (IQR)0.5645298027

Descriptive statistics

Standard deviation0.4257497806
Coefficient of variation (CV)0.1166348398
Kurtosis0.919052
Mean3.650279638
Median Absolute Deviation (MAD)0.2567198468
Skewness-0.2882197584
Sum2128.113029
Variance0.1812628757
MonotonicityNot monotonic
2023-02-02T09:45:05.471148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3.496507561 35
 
6.0%
3.36729583 34
 
5.8%
3.713572067 32
 
5.5%
3.433987204 32
 
5.5%
3.891820298 31
 
5.3%
3.850147602 30
 
5.1%
3.970291914 27
 
4.6%
3.663561646 25
 
4.3%
3.610917913 25
 
4.3%
3.761200116 24
 
4.1%
Other values (36) 288
49.4%
ValueCountFrequency (%)
2.197224577 2
 
0.3%
2.397895273 3
 
0.5%
2.564949357 7
1.2%
2.708050201 8
1.4%
2.833213344 10
1.7%
ValueCountFrequency (%)
5.141663557 1
0.2%
5.056245805 2
0.3%
4.976733742 1
0.2%
4.96284463 1
0.2%
4.553876892 1
0.2%

walk count (leg-3, only self returning walk)
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros583
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:05.911970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-02T09:45:06.271257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
ValueCountFrequency (%)
0 583
100.0%
Distinct137
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.945898668
Minimum2.833213344
Maximum6.532334292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:06.748243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.833213344
5-th percentile4.046499885
Q14.65396035
median5.017279837
Q35.283203729
95-th percentile5.608736498
Maximum6.532334292
Range3.699120948
Interquartile range (IQR)0.6292433786

Descriptive statistics

Standard deviation0.5044720389
Coefficient of variation (CV)0.1019980539
Kurtosis1.412441463
Mean4.945898668
Median Absolute Deviation (MAD)0.3077496355
Skewness-0.598172957
Sum2883.458923
Variance0.254492038
MonotonicityNot monotonic
2023-02-02T09:45:07.430783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.252273428 15
 
2.6%
4.65396035 14
 
2.4%
5.153291594 14
 
2.4%
4.727387819 13
 
2.2%
5.105945474 12
 
2.1%
4.532599493 12
 
2.1%
4.859812404 11
 
1.9%
5.303304908 11
 
1.9%
5.141663557 11
 
1.9%
5.442417711 10
 
1.7%
Other values (127) 460
78.9%
ValueCountFrequency (%)
2.833213344 1
0.2%
3.135494216 1
0.2%
3.218875825 1
0.2%
3.295836866 2
0.3%
3.36729583 1
0.2%
ValueCountFrequency (%)
6.532334292 1
0.2%
6.469250317 1
0.2%
6.463029457 1
0.2%
6.411818268 1
0.2%
6.401917197 1
0.2%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.073500285
Minimum0
Maximum2.397895273
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:07.952717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.397895273
95-th percentile2.397895273
Maximum2.397895273
Range2.397895273
Interquartile range (IQR)2.397895273

Descriptive statistics

Standard deviation1.193390651
Coefficient of variation (CV)1.111681727
Kurtosis-1.962238991
Mean1.073500285
Median Absolute Deviation (MAD)0
Skewness0.2109605664
Sum625.8506662
Variance1.424181246
MonotonicityNot monotonic
2023-02-02T09:45:08.359566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 322
55.2%
2.397895273 261
44.8%
ValueCountFrequency (%)
0 322
55.2%
2.397895273 261
44.8%
ValueCountFrequency (%)
2.397895273 261
44.8%
0 322
55.2%
Distinct336
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.410644648
Minimum3.496507561
Maximum8.093462275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:08.981061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.496507561
5-th percentile5.325894795
Q16.054436591
median6.484635236
Q36.834108739
95-th percentile7.179764763
Maximum8.093462275
Range4.596954713
Interquartile range (IQR)0.7796721477

Descriptive statistics

Standard deviation0.6100648114
Coefficient of variation (CV)0.09516434694
Kurtosis2.004549365
Mean6.410644648
Median Absolute Deviation (MAD)0.3865609535
Skewness-0.8138843775
Sum3737.40583
Variance0.3721790741
MonotonicityNot monotonic
2023-02-02T09:45:09.628626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.983936281 6
 
1.0%
6.859614904 6
 
1.0%
5.888877958 6
 
1.0%
6.790097236 5
 
0.9%
6.056784013 5
 
0.9%
6.580639137 5
 
0.9%
6.282266747 5
 
0.9%
6.079933195 5
 
0.9%
6.033086222 5
 
0.9%
6.391917113 5
 
0.9%
Other values (326) 530
90.9%
ValueCountFrequency (%)
3.496507561 1
0.2%
3.970291914 1
0.2%
4.262679877 2
0.3%
4.290459441 1
0.2%
4.394449155 1
0.2%
ValueCountFrequency (%)
8.093462275 1
0.2%
8.043984431 1
0.2%
8.03818918 1
0.2%
8.004699511 1
0.2%
7.997999318 1
0.2%
Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.059316792
Minimum0
Maximum4.94875989
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:10.077767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.59511985
95-th percentile4.727387819
Maximum4.94875989
Range4.94875989
Interquartile range (IQR)4.59511985

Descriptive statistics

Standard deviation2.290166397
Coefficient of variation (CV)1.112100094
Kurtosis-1.958257058
Mean2.059316792
Median Absolute Deviation (MAD)0
Skewness0.2132220983
Sum1200.581689
Variance5.244862128
MonotonicityNot monotonic
2023-02-02T09:45:10.827670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 322
55.2%
4.59511985 202
34.6%
4.727387819 27
 
4.6%
4.442651256 16
 
2.7%
4.844187086 7
 
1.2%
4.262679877 7
 
1.2%
4.94875989 2
 
0.3%
ValueCountFrequency (%)
0 322
55.2%
4.262679877 7
 
1.2%
4.442651256 16
 
2.7%
4.59511985 202
34.6%
4.727387819 27
 
4.6%
ValueCountFrequency (%)
4.94875989 2
 
0.3%
4.844187086 7
 
1.2%
4.727387819 27
 
4.6%
4.59511985 202
34.6%
4.442651256 16
 
2.7%
Distinct442
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.953825387
Minimum4.17438727
Maximum9.741380303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:11.357332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.17438727
5-th percentile6.663353106
Q17.525099437
median8.004699511
Q38.467372496
95-th percentile8.846409393
Maximum9.741380303
Range5.566993033
Interquartile range (IQR)0.9422730595

Descriptive statistics

Standard deviation0.7314177643
Coefficient of variation (CV)0.09195798608
Kurtosis2.533432938
Mean7.953825387
Median Absolute Deviation (MAD)0.4683355721
Skewness-0.9437243914
Sum4637.080201
Variance0.5349719459
MonotonicityNot monotonic
2023-02-02T09:45:11.879358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.353081921 5
 
0.9%
8.516192691 5
 
0.9%
7.80016307 4
 
0.7%
8.494743063 4
 
0.7%
7.689371108 4
 
0.7%
8.390495538 4
 
0.7%
7.850493181 4
 
0.7%
7.573017256 4
 
0.7%
7.678326357 4
 
0.7%
8.810310466 4
 
0.7%
Other values (432) 541
92.8%
ValueCountFrequency (%)
4.17438727 1
0.2%
4.844187086 1
0.2%
5.272999559 2
0.3%
5.283203729 1
0.2%
5.549076085 1
0.2%
ValueCountFrequency (%)
9.741380303 1
0.2%
9.699962788 1
0.2%
9.695786647 1
0.2%
9.673885691 1
0.2%
9.669472621 1
0.2%
Distinct17
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.930170631
Minimum0
Maximum7.139660336
Zeros322
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:12.358304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.529418838
95-th percentile6.762729507
Maximum7.139660336
Range7.139660336
Interquartile range (IQR)6.529418838

Descriptive statistics

Standard deviation3.259626137
Coefficient of variation (CV)1.112435604
Kurtosis-1.955162065
Mean2.930170631
Median Absolute Deviation (MAD)0
Skewness0.2150091902
Sum1708.289478
Variance10.62516255
MonotonicityNot monotonic
2023-02-02T09:45:12.790451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 322
55.2%
6.529418838 115
 
19.7%
6.555356892 74
 
12.7%
6.762729507 15
 
2.6%
6.224558429 12
 
2.1%
6.502790046 8
 
1.4%
5.888877958 7
 
1.2%
6.783325201 7
 
1.2%
6.580639137 5
 
0.9%
7.018401799 4
 
0.7%
Other values (7) 14
 
2.4%
ValueCountFrequency (%)
0 322
55.2%
5.888877958 7
 
1.2%
6.224558429 12
 
2.1%
6.259581464 3
 
0.5%
6.293419279 1
 
0.2%
ValueCountFrequency (%)
7.139660336 2
0.3%
7.03438793 3
0.5%
7.018401799 4
0.7%
6.823286122 3
0.5%
6.803505258 1
 
0.2%
Distinct480
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.540277178
Minimum4.859812404
Maximum11.45697926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:13.318849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.859812404
5-th percentile8.059206536
Q19.038958755
median9.569621916
Q310.14635528
95-th percentile10.61053098
Maximum11.45697926
Range6.597166853
Interquartile range (IQR)1.107396522

Descriptive statistics

Standard deviation0.8614606257
Coefficient of variation (CV)0.09029723242
Kurtosis2.968609573
Mean9.540277178
Median Absolute Deviation (MAD)0.5566355234
Skewness-1.024209141
Sum5561.981595
Variance0.7421144096
MonotonicityNot monotonic
2023-02-02T09:45:13.842689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.107088742 4
 
0.7%
10.07495879 4
 
0.7%
10.58772012 4
 
0.7%
10.20607055 4
 
0.7%
8.974744613 3
 
0.5%
9.949464239 3
 
0.5%
8.807920622 3
 
0.5%
9.496646498 3
 
0.5%
9.92588485 3
 
0.5%
9.221181395 3
 
0.5%
Other values (470) 549
94.2%
ValueCountFrequency (%)
4.859812404 1
0.2%
5.739792912 1
0.2%
6.311734809 2
0.3%
6.315358002 1
0.2%
6.597145702 1
0.2%
ValueCountFrequency (%)
11.45697926 2
0.3%
11.44572741 1
0.2%
11.4402795 1
0.2%
11.42829307 1
0.2%
11.40975145 1
0.2%
Distinct490
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.34092866
Minimum23.56114516
Maximum129.2016287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:14.510894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum23.56114516
5-th percentile40.43424954
Q152.04997931
median59.89235477
Q368.02876672
95-th percentile79.78925114
Maximum129.2016287
Range105.6404836
Interquartile range (IQR)15.97878741

Descriptive statistics

Standard deviation13.5195712
Coefficient of variation (CV)0.2240530848
Kurtosis3.254072391
Mean60.34092866
Median Absolute Deviation (MAD)7.897199688
Skewness0.8455540302
Sum35178.76141
Variance182.7788055
MonotonicityNot monotonic
2023-02-02T09:45:15.107658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.07165462 4
 
0.7%
63.92864937 4
 
0.7%
59.32966739 4
 
0.7%
72.25339732 4
 
0.7%
57.45879424 3
 
0.5%
40.43424954 3
 
0.5%
61.31852763 3
 
0.5%
60.10376209 3
 
0.5%
63.66175458 3
 
0.5%
47.18938504 3
 
0.5%
Other values (480) 549
94.2%
ValueCountFrequency (%)
23.56114516 1
0.2%
27.0876614 1
0.2%
28.25413009 1
0.2%
28.54114638 2
0.3%
29.82126636 1
0.2%
ValueCountFrequency (%)
129.2016287 1
0.2%
123.9545678 1
0.2%
122.9824172 1
0.2%
121.9446682 1
0.2%
115.6598934 1
0.2%

exact molecular weight
Real number (ℝ)

Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.359494
Minimum91.06332853
Maximum1231.490509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:15.726404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum91.06332853
5-th percentile164.1500773
Q1248.6811575
median342.1646994
Q3427.2042072
95-th percentile574.1846845
Maximum1231.490509
Range1140.42718
Interquartile range (IQR)178.5230498

Descriptive statistics

Standard deviation142.1256176
Coefficient of variation (CV)0.4045019987
Kurtosis6.032947604
Mean351.359494
Median Absolute Deviation (MAD)89.0006693
Skewness1.558455154
Sum204842.585
Variance20199.69117
MonotonicityNot monotonic
2023-02-02T09:45:16.260119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424.0925185 4
 
0.7%
410.0404829 3
 
0.5%
424.056133 3
 
0.5%
382.0455683 3
 
0.5%
410.0768684 3
 
0.5%
419.0408173 3
 
0.5%
293.1718121 2
 
0.3%
299.080299 2
 
0.3%
321.1398646 2
 
0.3%
405.0251672 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
91.06332853 1
0.2%
105.0789786 2
0.3%
108.0534921 1
0.2%
110.0014297 1
0.2%
117.0789786 1
0.2%
ValueCountFrequency (%)
1231.490509 1
0.2%
1114.313607 1
0.2%
1111.302708 1
0.2%
1030.219707 1
0.2%
1016.204057 1
0.2%
Distinct525
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.138390773
Minimum4.921705714
Maximum14.79996166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:16.824752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.921705714
5-th percentile5.494710727
Q16.589937747
median7.855955248
Q39.529432632
95-th percentile11.58008869
Maximum14.79996166
Range9.87825595
Interquartile range (IQR)2.939494886

Descriptive statistics

Standard deviation1.937091846
Coefficient of variation (CV)0.2380190262
Kurtosis-0.39259432
Mean8.138390773
Median Absolute Deviation (MAD)1.45955594
Skewness0.5272262593
Sum4744.68182
Variance3.752324822
MonotonicityNot monotonic
2023-02-02T09:45:17.418591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.023245075 4
 
0.7%
10.25101207 3
 
0.5%
9.861770535 3
 
0.5%
10.05383075 3
 
0.5%
9.319928828 3
 
0.5%
10.47602043 3
 
0.5%
6.107746086 2
 
0.3%
8.545151401 2
 
0.3%
7.136441435 2
 
0.3%
10.94662614 2
 
0.3%
Other values (515) 556
95.4%
ValueCountFrequency (%)
4.921705714 1
0.2%
5.039801024 1
0.2%
5.088082133 1
0.2%
5.123969567 2
0.3%
5.1407135 1
0.2%
ValueCountFrequency (%)
14.79996166 1
0.2%
13.92110163 1
0.2%
13.61681853 1
0.2%
13.15757059 2
0.3%
12.97752259 1
0.2%

Wiener index
Real number (ℝ)

Distinct478
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.099519798 × 1010
Minimum500000018
Maximum1.482000125 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:18.035680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum500000018
5-th percentile1200000033
Q14500000105
median9000000212
Q31.400000127 × 1010
95-th percentile2.850000112 × 1010
Maximum1.482000125 × 1011
Range1.477000125 × 1011
Interquartile range (IQR)9500001168

Descriptive statistics

Standard deviation1.177160218 × 1010
Coefficient of variation (CV)1.070613026
Kurtosis44.91534911
Mean1.099519798 × 1010
Median Absolute Deviation (MAD)4800000150
Skewness5.168545803
Sum6.410200423 × 1012
Variance1.385706179 × 1020
MonotonicityNot monotonic
2023-02-02T09:45:18.626503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.050000039 × 10105
 
0.9%
7200000151 4
 
0.7%
5000000140 4
 
0.7%
1.87000006 × 10104
 
0.7%
1.350000043 × 10104
 
0.7%
1.100000026 × 10103
 
0.5%
1.350000043 × 10103
 
0.5%
4500000109 3
 
0.5%
3500000062 3
 
0.5%
6300000134 3
 
0.5%
Other values (468) 547
93.8%
ValueCountFrequency (%)
500000018 1
0.2%
600000026 2
0.3%
700000043 2
0.3%
800000058 1
0.2%
800000063 2
0.3%
ValueCountFrequency (%)
1.482000125 × 10111
0.2%
1.026000112 × 10111
0.2%
1.026000112 × 10111
0.2%
6.840001051 × 10101
0.2%
6.270001045 × 10101
0.2%

Wiener polarity index
Real number (ℝ)

Distinct74
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.89193825
Minimum0
Maximum135
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:19.237185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median21
Q333
95-th percentile51.9
Maximum135
Range135
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.38029874
Coefficient of variation (CV)0.7384036772
Kurtosis7.232357254
Mean24.89193825
Median Absolute Deviation (MAD)10
Skewness2.04190841
Sum14512
Variance337.8353816
MonotonicityNot monotonic
2023-02-02T09:45:19.904319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 24
 
4.1%
10 24
 
4.1%
11 22
 
3.8%
15 19
 
3.3%
9 18
 
3.1%
12 18
 
3.1%
8 17
 
2.9%
28 17
 
2.9%
16 17
 
2.9%
32 16
 
2.7%
Other values (64) 391
67.1%
ValueCountFrequency (%)
0 10
1.7%
1 2
 
0.3%
2 11
1.9%
3 2
 
0.3%
4 11
1.9%
ValueCountFrequency (%)
135 1
0.2%
125 1
0.2%
124 1
0.2%
118 1
0.2%
117 1
0.2%

Zagreb index (version 1)
Real number (ℝ)

Distinct98
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.11149228
Minimum12
Maximum428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:20.624495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile36.2
Q166
median94
Q3124
95-th percentile173.6
Maximum428
Range416
Interquartile range (IQR)58

Descriptive statistics

Standard deviation49.00353716
Coefficient of variation (CV)0.4944284062
Kurtosis10.4669766
Mean99.11149228
Median Absolute Deviation (MAD)28
Skewness2.154471166
Sum57782
Variance2401.346655
MonotonicityNot monotonic
2023-02-02T09:45:21.178326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124 19
 
3.3%
60 18
 
3.1%
106 18
 
3.1%
86 16
 
2.7%
68 16
 
2.7%
102 15
 
2.6%
110 15
 
2.6%
82 14
 
2.4%
118 13
 
2.2%
64 13
 
2.2%
Other values (88) 426
73.1%
ValueCountFrequency (%)
12 1
0.2%
16 2
0.3%
18 2
0.3%
20 1
0.2%
22 2
0.3%
ValueCountFrequency (%)
428 1
0.2%
400 1
0.2%
398 1
0.2%
376 1
0.2%
372 1
0.2%

Zagreb index (version 2)
Real number (ℝ)

Distinct176
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.6003431
Minimum8
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:21.699001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile36
Q167
median101
Q3134.5
95-th percentile190.5
Maximum490
Range482
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation58.59564801
Coefficient of variation (CV)0.5496759797
Kurtosis10.28637628
Mean106.6003431
Median Absolute Deviation (MAD)34
Skewness2.241886825
Sum62148
Variance3433.449966
MonotonicityNot monotonic
2023-02-02T09:45:22.571248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 10
 
1.7%
72 9
 
1.5%
111 9
 
1.5%
58 9
 
1.5%
79 9
 
1.5%
138 9
 
1.5%
112 8
 
1.4%
68 8
 
1.4%
60 8
 
1.4%
88 8
 
1.4%
Other values (166) 496
85.1%
ValueCountFrequency (%)
8 1
0.2%
12 1
0.2%
13 2
0.3%
14 1
0.2%
16 1
0.2%
ValueCountFrequency (%)
490 1
0.2%
463 1
0.2%
460 1
0.2%
439 1
0.2%
435 1
0.2%
Distinct274
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.895535544
Minimum1.333333333
Maximum17.625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:23.130071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.333333333
5-th percentile2.375
Q13.625
median4.666666667
Q35.791666667
95-th percentile8.21875
Maximum17.625
Range16.29166667
Interquartile range (IQR)2.166666667

Descriptive statistics

Standard deviation1.939576642
Coefficient of variation (CV)0.3961929445
Kurtosis6.771712878
Mean4.895535544
Median Absolute Deviation (MAD)1.104166667
Skewness1.72016811
Sum2854.097222
Variance3.76195755
MonotonicityNot monotonic
2023-02-02T09:45:23.677580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.5 19
 
3.3%
3.375 12
 
2.1%
5.875 10
 
1.7%
4.75 10
 
1.7%
5.625 10
 
1.7%
3.75 10
 
1.7%
5.25 10
 
1.7%
3.5 9
 
1.5%
5 9
 
1.5%
5.125 8
 
1.4%
Other values (264) 476
81.6%
ValueCountFrequency (%)
1.333333333 1
0.2%
1.416666667 2
0.3%
1.75 2
0.3%
1.805555556 1
0.2%
1.916666667 2
0.3%
ValueCountFrequency (%)
17.625 1
0.2%
15.5 1
0.2%
15.41666667 1
0.2%
13.91666667 1
0.2%
13.66666667 1
0.2%

exp (K)
Real number (ℝ)

Distinct200
Distinct (%)35.3%
Missing17
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean322.0683746
Minimum191.15
Maximum550.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-02-02T09:45:24.257313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum191.15
5-th percentile243.65
Q1284.15
median318.15
Q3353.15
95-th percentile421.15
Maximum550.15
Range359
Interquartile range (IQR)69

Descriptive statistics

Standard deviation53.4850069
Coefficient of variation (CV)0.1660672426
Kurtosis0.6344019942
Mean322.0683746
Median Absolute Deviation (MAD)35
Skewness0.5658500932
Sum182290.7
Variance2860.645963
MonotonicityNot monotonic
2023-02-02T09:45:24.788575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313.15 10
 
1.7%
327.15 8
 
1.4%
299.15 8
 
1.4%
344.15 8
 
1.4%
311.15 8
 
1.4%
318.15 7
 
1.2%
351.15 7
 
1.2%
323.15 7
 
1.2%
378.15 7
 
1.2%
294.15 7
 
1.2%
Other values (190) 489
83.9%
(Missing) 17
 
2.9%
ValueCountFrequency (%)
191.15 1
0.2%
192.15 1
0.2%
193.15 1
0.2%
205.15 1
0.2%
212.15 1
0.2%
ValueCountFrequency (%)
550.15 1
0.2%
490.15 1
0.2%
486.15 1
0.2%
477.15 1
0.2%
473.15 1
0.2%